You are probably here because you are stuck between : > what Career to Pursue in CS ? > Or between hundred AI courses figuring out what actually works. I have been on both sides of that. I am an AI Engineer. I build RAG pipelines and multi-agent systems, and I deploy them so real people use them, not just demo them. Before any of that : -- I Ranked Global #3 at the MIT Informatics Competition -- Rank#10 at CodeSprint UCLA. -- Participated in 30+ Int'l Hackathons -- Taught 2 Agentic AI Cohorts So DSA and Agentic AI is not something I studied for interviews. It is how I got noticed in the first place. I have taught this for a while now, So Now students in my own community message when they are stuck on a roadmap or a decision they cannot make alone. Most people learn AI in a traditional way, learn maths, theoretical concepts before actually writing code, long courses before shipping. I start with different way, I'll develop your interest and motivation that you can build with AI then get you for Deeper Theory. This is what I help with: 1. Career clarity : AI, web dev, app dev, data science or something else, and what the market is actually paying for right now ? 2. AI Engineering : Gen AI, Agents, Live Agents, what to learn first and what to skip ? 3. MERN stack: A roadmap and the resources I'd actually use, not a list of tutorials. 4. Hackathons: How to start, how to find a team, and how to win? 5. DSA and competitive programming: how to get good enough to actually rank. If you want a straight answer instead of a roadmap PDF, Message me :)