
March is not a learning month.
It is a decision month.
If you don’t move now, you’ll still be “planning” in December.
I am opening limited 1:1 sessions under Move with March to help serious learners and professionals transition, switch, or accelerate their AI/ML careers for 2026.
This is not motivation.
This is strategy.
This session is completely customized to your current background, goals, and timeline.
Based on your situation, we will cover:
• Choosing the right path AI Engineering vs Data Science vs MLOps vs GenAI
• A personalized 2026 roadmap (not random course suggestions)
• Skills gap analysis what’s missing and what’s unnecessary
• How to build portfolio projects that actually impress hiring managers
• How to position yourself for 30+ LPA / 50+ LPA roles (realistic market discussion)
• Resume & LinkedIn positioning strategy
• Transition plan if you're from non-AI or non-tech background
• How to grow if you're already working in tech but feel stagnant
• AI trends for 2026 — where to invest time vs what to ignore
• Salary negotiation mindset & switch timing strategy
• Long-term positioning: specialist vs generalist in AI
And yes you can ask me anything about your career direction.
• Students exploring AI/ML seriously
• Working professionals planning a switch in 2026
• Engineers confused between DS ↔ ML ↔ AI Eng ↔ GenAI
• People learning randomly without a structured plan
• Professionals stuck at the same salary band
• Anyone who feels overwhelmed by the AI noise
AI in 2026 will not reward surface-level learners.
The market is already shifting toward:
Depth. Real systems. Practical AI engineering.
The difference between someone earning 12 LPA and 45+ LPA in AI is not intelligence.
It’s clarity and positioning.
A personalized roadmap can save you 6–12 months of confusion.
March is the month you either move or remain average.
9:30 PM – 11:30 PM (India Time)
Limited slots.
Serious candidates only.
If you’re ready to stop consuming and start moving.
I would love to help you build your 2026 AI game plan. 🚀