Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me — happy to share my resume and chat.

Thanks!

Hi everyone,

I’m a recent Computer Science graduate from India actively looking for AI/ML Engineer / Applied AI / ML Developer opportunities (remote or on-site).

I have 6+ months of startup experience across 2 remote roles, where I’ve worked on production-grade AI systems, ML pipelines, and full-stack AI products. I currently have a PPO, but I’m exploring opportunities where I can work on challenging AI problems, learn from strong teams, and contribute meaningfully from day one.

What I’ve worked on

AI/ML Engineering

• Built and optimized real-world ML inference pipelines, reducing latency from 5s → 300ms (94% improvement) using batching and async processing on AWS + Databricks
• Worked on training, evaluating, and improving production models, including tuning precision/recall tradeoffs, threshold calibration, and iterative feature engineering
• Improved ensemble model agreement from 30% → 68%
• Built retraining workflows for handling model performance shifts as data changed over time
• Developed a model-drift monitoring pipeline used daily by hundreds of data scientists to track performance degradation and trigger investigation
• Designed LLM guardrails (rule-based + embedding-based), reducing unsafe outputs by 54%
• Worked extensively with RAG pipelines, LangChain, HuggingFace Transformers, DistilBERT, NER, NLP
• Built and deployed FastAPI inference APIs integrated into production microservices

Modeling Fundamentals

• Trained neural networks from scratch using only NumPy to deepen my understanding of backpropagation, optimization, and model internals
• Strong interest in understanding systems beyond libraries—not just using frameworks, but understanding how models actually work underneath

LLM & Evaluation Work

• Worked with medical-focused Small Language Models (SLMs) and benchmarked their outputs against frontier models like ChatGPT, Claude, and Gemini
• Experience evaluating model behavior, response quality, safety, and consistency across different architectures

Cloud / Infrastructure

• AWS (SageMaker, Lambda, S3)
• Databricks
• Docker
• GitHub Actions / CI/CD
• PostgreSQL / Redis
• Linux

Full Stack AI Development

• Built AI SaaS products using React, Next.js, Node.js, FastAPI, tRPC
• Developed scalable backend services and real-time APIs
• Integrated third-party APIs and workflow automation systems

Notable Projects

1. AI Threat Intelligence Platform (Cybersecurity + ML)

• Built an end-to-end threat intelligence platform combining ML + NLP + security automation
• Achieved 96% phishing email classification accuracy using fine-tuned DistilBERT
• Built hybrid IOC extraction pipeline (NER + regex) for malware indicator extraction
• Full-stack deployment with React + FastAPI
• Patent pending on the underlying AI-based threat intelligence and IOC classification system

2. Visual AI Workflow Builder

• Built a drag-and-drop AI workflow platform for designing and executing LLM pipelines
• 30+ integrations
• Real-time execution using LangChain
• Type-safe APIs and multi-user workflow persistence

3. Emotion-Aware Memory Engine (Research / Ongoing)

• Working on an AI architecture with a pending patent focused on an emotion-aware memory engine
• Exploring adaptive local memory, context retention, and persistent personalization for more human-like model behavior across sessions

Tech Stack

Python, JavaScript, C++, PyTorch, Scikit-learn, XGBoost, HuggingFace, LangChain, FastAPI, React, Next.js, Node.js, AWS, Databricks, PostgreSQL, Docker

Achievements

• Runner-up, National CTF (400+ teams) — reverse engineering, web exploitation, and forensics
• Top performer, AWS Cloud Security CTF
• Patent pending on AI-based intelligent systems

Open to:

✅ AI/ML Engineer roles
✅ Applied AI / LLM Engineer roles
✅ Machine Learning Engineer roles
✅ AI startups / research-driven teams
✅ ML + Security / Cyber AI roles

Location: India (Open to remote / international opportunities)

If you think I could be a fit for your team, feel free to DM me happy to share my resume and chat.

Thanks!

Hi guys, I'm an AI/ML engineer with 6 months of intern experience in 2 remote roles 3-3 moths each , I have ppo but I'm seeking better job opportunities, I have worked with RAGs, LLMs, AI workflows, ML pipelines, AI SaaS, databricks , AWS (sagemaker) etc

If you feel you might have something for me feel free to DM , I can share my resume there.

Thanks

Hi guys, I'm an AI/ML engineer with 6 months of intern experience in 2 remote roles 3-3 moths each , I have ppo but I'm seeking better job opportunities, I have worked with RAGs, LLMs, AI workflows, ML pipelines, AI SaaS, databricks , AWS (sagemaker) etc

If you feel you might have something for me feel free to DM , I can share my resume there.

Thanks

Hi guys, I'm an AI/ML engineer with 6 months of intern experience in 2 remote roles 3-3 moths each , I have ppo but I'm seeking better job opportunities, I have worked with RAGs, LLMs, AI workflows, ML pipelines, AI SaaS, databricks , AWS (sagemaker) etc

If you feel you might have something for me feel free to DM , I can share my resume there.

Thanks

Hi guys, I'm an AI/ML engineer with 6 months of intern experience in 2 remote roles 3-3 moths each , I have ppo but I'm seeking better job opportunities, I have worked with RAGs, LLMs, AI workflows, ML pipelines, AI SaaS, databricks , AWS (sagemaker) etc

If you feel you might have something for me feel free to DM , I can share my resume there.

Thanks

Hi guys, I'm an AI/ML engineer with 6 months of intern experience in 2 remote roles 3-3 moths each , I have ppo but I'm seeking better job opportunities, I have worked with RAGs, LLMs, AI workflows, ML pipelines, AI SaaS, databricks , AWS (sagemaker) etc

If you feel you might have something for me feel free to DM , I can share my resume there.

Thanks

Are you a data scientist who needs help with data parsing, QA pipelines, or ML workflows?

Are you a founder looking to build an AI SaaS product—but don’t know where to start, want to avoid expensive AI API costs, or prefer to self-host and fine-tune your own models?

Or are you part of a research lab looking for skilled engineers to support your AI/ML research and experimentation?

If any of that sounds like you, we might be exactly the team you need.

We help with:
• AI/ML pipeline development
• Data parsing, cleaning, and automation
• QA and evaluation workflows for AI systems
• Fine-tuning and self-hosting open-source LLMs
• AI SaaS MVP development
• Research engineering support

Feel free to DM me if you'd like to learn more about our team and see our portfolio.

Are you a data scientist who needs help with data parsing, QA pipelines, or ML workflows?

Are you a founder looking to build an AI SaaS product—but don’t know where to start, want to avoid expensive AI API costs, or prefer to self-host and fine-tune your own models?

Or are you part of a research lab looking for skilled engineers to support your AI/ML research and experimentation?

If any of that sounds like you, we might be exactly the team you need.

We help with:
• AI/ML pipeline development
• Data parsing, cleaning, and automation
• QA and evaluation workflows for AI systems
• Fine-tuning and self-hosting open-source LLMs
• AI SaaS MVP development
• Research engineering support

Feel free to DM me if you'd like to learn more about our team and see our portfolio.

Are you a data scientist who needs help with data parsing, QA pipelines, or ML workflows?

Are you a founder looking to build an AI SaaS product—but don’t know where to start, want to avoid expensive AI API costs, or prefer to self-host and fine-tune your own models?

Or are you part of a research lab looking for skilled engineers to support your AI/ML research and experimentation?

If any of that sounds like you, we might be exactly the team you need.

We help with:
• AI/ML pipeline development
• Data parsing, cleaning, and automation
• QA and evaluation workflows for AI systems
• Fine-tuning and self-hosting open-source LLMs
• AI SaaS MVP development
• Research engineering support

Feel free to DM me if you'd like to learn more about our team and see our portfolio.

Are you a data scientist who needs help with data parsing, QA pipelines, or ML workflows?

Are you a founder looking to build an AI SaaS product—but don’t know where to start, want to avoid expensive AI API costs, or prefer to self-host and fine-tune your own models?

Or are you part of a research lab looking for skilled engineers to support your AI/ML research and experimentation?

If any of that sounds like you, we might be exactly the team you need.

We help with:
• AI/ML pipeline development
• Data parsing, cleaning, and automation
• QA and evaluation workflows for AI systems
• Fine-tuning and self-hosting open-source LLMs
• AI SaaS MVP development
• Research engineering support

Feel free to DM me if you'd like to learn more about our team and see our portfolio.

Are you a data scientist who needs help with data parsing, QA pipelines, or ML workflows?

Are you a founder looking to build an AI SaaS product—but don’t know where to start, want to avoid expensive AI API costs, or prefer to self-host and fine-tune your own models?

Or are you part of a research lab looking for skilled engineers to support your AI/ML research and experimentation?

If any of that sounds like you, we might be exactly the team you need.

We help with:
• AI/ML pipeline development
• Data parsing, cleaning, and automation
• QA and evaluation workflows for AI systems
• Fine-tuning and self-hosting open-source LLMs
• AI SaaS MVP development
• Research engineering support

Feel free to DM me if you'd like to learn more about our team and see our portfolio.

Are you a data scientist who needs help with data parsing, QA pipelines, or ML workflows?

Are you a founder looking to build an AI SaaS product but don’t know where to start, want to avoid expensive AI API costs, or prefer to self-host and fine-tune your own models?

Or are you part of a research lab looking for skilled engineers to support your AI/ML research and experimentation?

If any of that sounds like you, we might be exactly the team you need.

We help with:
• AI/ML pipeline development
• Data parsing, cleaning, and automation
• QA and evaluation workflows for AI systems
• Fine-tuning and self-hosting open-source LLMs
• AI SaaS MVP development
• Research engineering support

Feel free to DM me if you'd like to learn more about our team and see our portfolio.

https://preview.redd.it/fea7hvb8yn0h1.png?width=617&format=png&auto=webp&s=8e3ca8546a782747ef5d4c5eb6516eaf63028f43

https://preview.redd.it/8sbtnii7xn0h1.png?width=617&format=png&auto=webp&s=b9eff0dad3188f73b271b5c649741a96a4284d30