1:1 Mentorship

The AI boom has created more career paths than ever — but also more confusion than ever.

MLE, MLOps, Data Scientist, Research Engineer, AI Product Manager, Computer Vision Engineer, NLP Engineer, AI Infrastructure... where do you even start?

Most freshers either chase whatever's trending on LinkedIn, or pick a role they barely understand — and waste 6–12 months going in the wrong direction.

In this 1:1 session, we map out the AI/ML landscape and find where you actually fit — based on your strengths, your background, and what the industry is actually hiring for right now.

What we'll cover:

• A clear breakdown of every major AI/ML role — what they actually do day-to-day
• Honest difference between Data Science, ML Engineering, MLOps, and Research (most people get this wrong)
• Which roles need strong math vs strong coding vs strong product thinking
• Where freshers and new grads are getting hired the fastest in 2025
• How to position yourself even if your college projects feel "too basic"
• Your personal roadmap — what to build, what to learn, and in what order

This is for you if:

• You're a CS/AI/ML student or fresher unsure which AI role to target
• You've done some ML projects but don't know how to turn them into a career
• You're torn between research vs industry, or data science vs engineering
• You want a brutally honest view — not just what sounds good on paper

Come with your resume and your doubts. Leave with a clear role, a clear plan, and zero confusion.