u/AsleepTitle3741

Hey everyone,

I’m currently pursuing BE in Computer Engineering (Mumbai University) and I’m trying to make a clear long-term decision about my career path. I’d really appreciate advice from people already working in AI, finance, or related fields.

Here’s my situation:

• I’m strongly interested in AI, and I’ve already built multiple AI-based projects.
• I plan to also explore blockchain and possibly combine it with AI in the future for a serious project/startup.
• At the same time, I have a deep interest in finance and stock markets, I’ve been learning about it since school, actively invest/trade, and have even built projects related to algorithmic trading / quantitative finance.

So right now, I see 3 possible paths:

1. Core AI Engineering (Primary Interest)

• Continue in AI development
• Get a job as an AI/ML engineer
• Build strong technical expertise (Agentic AI, ML systems, etc.)
• Possibly build an AI startup later

Confusion:
If I go deep into AI engineering, does doing an MBA even make sense later? It feels irrelevant for a developer role.

2. AI in Finance / Quant Path (Second Option)

• Prepare for CAT in 3rd/4th year
• Do MBA in Finance (NMIMS / SPJIMR type colleges)
• Simultaneously pursue CFA / NISM certifications
• Work in areas like:
  • Portfolio management
  • Quant roles
  • Investment analysis using AI

This path aligns with both my technical + finance interests, but I’m unsure how strong this combination really is in India, as some people said that MBA in finance becomes a 180 degree turn from my BE in computer engineering.

3. AI-based Startup (Long-term goal)

• Build something impactful using AI
• Either product-based or service-based AI company
• But currently I don’t have a “breakthrough idea” yet

Main Questions:

1. If I want to go deep into AI development, what should I do after BE instead of MBA? And is there any other degree related to AI which I can pursue instead of ME, MS or MBA?
2. How valuable is AI + Finance (Quant / AI in portfolio management) in India realistically?
   • Is it worth doing MBA + CFA for this?
3. Does doing an MBA after engineering hurt or help if I still want to stay somewhat technical?
4. If you were in my position, which path would you choose and why?
5. What skills/projects should I focus on right now (during engineering) to maximize opportunities in AI?

I’m not looking for generic advice, I’d really appreciate insights from people working in:

• AI/ML engineering
• Quant/finance roles
• Startups

Thanks in advance!

Hey everyone,

I’m currently pursuing BE in Computer Engineering (Mumbai University) and I’m trying to make a clear long-term decision about my career path. I’d really appreciate advice from people already working in AI, finance, or related fields.

Here’s my situation:

• I’m strongly interested in AI, and I’ve already built multiple AI-based projects.
• I plan to also explore blockchain and possibly combine it with AI in the future for a serious project/startup.
• At the same time, I have a deep interest in finance and stock markets, I’ve been learning about it since school, actively invest/trade, and have even built projects related to algorithmic trading / quantitative finance.

So right now, I see 3 possible paths:

1. Core AI Engineering (Primary Interest)

• Continue in AI development
• Get a job as an AI/ML engineer
• Build strong technical expertise (Agentic AI, ML systems, etc.)
• Possibly build an AI startup later

Confusion:
If I go deep into AI engineering, does doing an MBA even make sense later? It feels irrelevant for a developer role.

2. AI in Finance / Quant Path (Second Option)

• Prepare for CAT in 3rd/4th year
• Do MBA in Finance (NMIMS / SPJIMR type colleges)
• Simultaneously pursue CFA / NISM certifications
• Work in areas like:
  • Portfolio management
  • Quant roles
  • Investment analysis using AI

This path aligns with both my technical + finance interests, but I’m unsure how strong this combination really is in India, as some people said that MBA in finance becomes a 180 degree turn from my BE in computer engineering.

3. AI-based Startup (Long-term goal)

• Build something impactful using AI
• Either product-based or service-based AI company
• But currently I don’t have a “breakthrough idea” yet

Main Questions:

1. If I want to go deep into AI development, what should I do after BE instead of MBA? And is there any other degree related to AI which I can pursue instead of ME, MS or MBA?
2. How valuable is AI + Finance (Quant / AI in portfolio management) in India realistically?
   • Is it worth doing MBA + CFA for this?
3. Does doing an MBA after engineering hurt or help if I still want to stay somewhat technical?
4. If you were in my position, which path would you choose and why?
5. What skills/projects should I focus on right now (during engineering) to maximize opportunities in AI?

I’m not looking for generic advice, I’d really appreciate insights from people working in:

• AI/ML engineering
• Quant/finance roles
• Startups

Thanks in advance!

Hey everyone,

I’m a 2nd year engineering student from India currently exploring Agentic AI systems, and I’m looking to build a serious, production-level project that can be deployed and used by real users.

Here’s a quick snapshot of what I’ve already built:

* Visitor Management CRM

* IntelliTrail - AI based trailing stop loss system

* AI Resume Builder

* NLP-based application

* Traffic Management System (violation detection, congestion prediction, route optimization using maps)

* Bot for finding and filling forms for eligible schemes and subsidies for farmers across all states of India

* Full-stack service platform (Mr. Handy)

* Java-based Canteen Management System

* ML pipeline for comparative literature analysis

Currently, I’m learning Agentic AI (multi-agent workflows, autonomous decision systems) and working on 2 ongoing projects in this domain.

Now I want to build something:

* Has real-time users

* Solves a real-world problem

* Is strong enough to be my final year project + portfolio flagship

I’m not looking for generic ideas, I want something industry-level, scalable, and impactful.

Would love suggestions on:

* Unique agentic AI project ideas

* Problems worth solving

* Tech stack recommendations (LangChain, AutoGen, etc.)

* Monetization or real-world deployment strategies

Thanks in advance 🙌