u/Material-Access5732

I’m an early career AI/ML engineer with 2 years of R&D experience building production-grade systems , I focus on taking models from research to scalable, cost-efficient production.

What I bring:

• LLM & Compute Optimization: Experience with A100 clusters, fine-tuning optimization, inference load benchmarking & serving with different engines , and training speed improvements. Built data and distillation pipelines for reasoning-focused models.
• Data Science & Modeling: Strong focus on statistical validation, predictive modeling, and reproducible ML pipelines bridging LLMs with classical ML.
• Data Orchestration: Hands-on with Dagster, DVC, W&B, AWS, and distributed workflows ensuring reliable retraining and data integrity.
• NLP & Vision: Experience with transformer models (BERT, RoBERTa , etc...) and applied vision models ( VLMs , CNNs, ViTs ,etcs) , including benchmarking in production settings.
• End-to-End Ownership: Comfortable owning full stack systems including backend, DevOps (AWS , Docker, Terraform), and production deployment.

Global work setup:

• 2 years experience working with UK/US/MENA teams
• GMT+3, fully aligned with EST/PST/GMT schedules
• Strong technical English and documentation
• Available full-time immediately

Looking for teams that need end-to-end ownership from research to production. If this actually resonates with your needs, feel free to DM.

Resume Link : https://drive.google.com/file/d/1lqt-CAIrMH9LP0BJIboBiBr_RVoUzSDR/view?usp=sharing

Internet  : 24/7 high-speed connection, Download: 566 Mbps, Upload: 70 Mbps, Ping: 9-184 ms

I’m an early career AI/ML engineer with 2 years of R&D experience building production-grade systems , I focus on taking models from research to scalable, cost-efficient production.

What I bring:

• LLM & Compute Optimization: Experience with A100 clusters, fine-tuning optimization, inference load benchmarking & serving with different engines , and training speed improvements. Built data and distillation pipelines for reasoning-focused models.
• Data Science & Modeling: Strong focus on statistical validation, predictive modeling, and reproducible ML pipelines bridging LLMs with classical ML.
• Data Orchestration: Hands-on with Dagster, DVC, W&B, AWS, and distributed workflows ensuring reliable retraining and data integrity.
• NLP & Vision: Experience with transformer models (BERT, RoBERTa , etc...) and applied vision models ( VLMs , CNNs, ViTs ,etcs) , including benchmarking in production settings.
• End-to-End Ownership: Comfortable owning full stack systems including backend, DevOps (AWS , Docker, Terraform), and production deployment.

Global work setup:

• 2 years experience working with UK/US/MENA teams
• GMT+3, fully aligned with EST/PST/GMT schedules
• Strong technical English and documentation
• Available full-time immediately

Looking for teams that need end-to-end ownership from research to production. If this actually resonates with your needs, feel free to DM.

Resume Link : https://drive.google.com/file/d/1lqt-CAIrMH9LP0BJIboBiBr_RVoUzSDR/view?usp=sharing

Internet  : 24/7 high-speed connection, Download: 566 Mbps, Upload: 70 Mbps, Ping: 9-184 ms

I’m an early career AI/ML engineer with 2 years of R&D experience building production-grade systems , I focus on taking models from research to scalable, cost-efficient production.

What I bring:

• LLM & Compute Optimization: Experience with A100 clusters, fine-tuning optimization, inference load benchmarking & serving with different engines , and training speed improvements. Built data and distillation pipelines for reasoning-focused models.
• Data Science & Modeling: Strong focus on statistical validation, predictive modeling, and reproducible ML pipelines bridging LLMs with classical ML.
• Data Orchestration: Hands-on with Dagster, DVC, W&B, AWS, and distributed workflows ensuring reliable retraining and data integrity.
• NLP & Vision: Experience with transformer models (BERT, RoBERTa , etc...) and applied vision models ( VLMs , CNNs, ViTs ,etcs) , including benchmarking in production settings.
• End-to-End Ownership: Comfortable owning full stack systems including backend, DevOps (AWS , Docker, Terraform), and production deployment.

Global work setup:

• 2 years experience working with UK/US/MENA teams
• GMT+3, fully aligned with EST/PST/GMT schedules
• Strong technical English and documentation
• Available full-time immediately

Looking for teams that need end-to-end ownership from research to production. If this actually resonates with your needs, feel free to DM.

Resume Link : https://drive.google.com/file/d/1lqt-CAIrMH9LP0BJIboBiBr_RVoUzSDR/view?usp=sharing

Internet  : 24/7 high-speed connection, Download: 566 Mbps, Upload: 70 Mbps, Ping: 9-184 ms

I’m an early career AI/ML engineer with 2 years of R&D experience building production-grade systems , I focus on taking models from research to scalable, cost-efficient production.

What I bring:

• LLM & Compute Optimization: Experience with A100 clusters, kernel optimization, inference load benchmarking & serving with different engines , and training speed improvements. Built data and distillation pipelines for reasoning-focused models.
• Data Science & Modeling: Strong focus on statistical validation, predictive modeling, and reproducible ML pipelines bridging LLMs with classical ML.
• Data Orchestration: Hands-on with Dagster, DVC, W&B, AWS, and distributed workflows ensuring reliable retraining and data integrity.
• NLP & Vision: Experience with transformer models (BERT, RoBERTa , etc...) and applied vision models ( VLMs , CNNs, ViTs ,etcs) , including benchmarking in production settings.
• End-to-End Ownership: Comfortable owning full stack systems including backend, DevOps (AWS , Docker, Terraform), and production deployment.

Global work setup:

• 2 years experience working with UK/US/MENA teams
• GMT+3, fully aligned with EST/PST/GMT schedules
• Strong technical English and documentation
• Available full-time immediately

Looking for teams that need end-to-end ownership from research to production. If this actually resonates with your needs, feel free to DM.

Resume Link : https://drive.google.com/file/d/1lqt-CAIrMH9LP0BJIboBiBr_RVoUzSDR/view?usp=sharing

Internet  : 24/7 high-speed connection, Download: 566 Mbps, Upload: 70 Mbps, Ping: 9-184 ms