Inductions, fests, first-years·40–60 min
From college hackathons to production AI
A three-year roadmap — foundations in Year 1, hackathons and internships in Year 2, placements or a startup in Year 3 — built from my own path from an engineering classroom in Kanpur to shipping production AI systems.
Hackathon kick-offs, tech clubs·40–60 min
What I learned winning three hackathons and losing one
Changethon at IIT Roorkee, Product Genesis at CSJMU, BYTEBATTLE by MeetKats, and STROT, which did not win — the pitch, the demo and the team decisions behind each.
CS / AI batches·45–90 min
Production RAG that refuses to hallucinate
Hybrid retrieval, reranking, confidence gates and citations, taught from building RAG.NextUpgrad end to end — with a live demo.
Hands-on workshop, 30–60 students·90 min – full day
Build a RAG app from scratch
Every student leaves with a retrieval app running against their own document, evaluated on a question set they wrote themselves.
Hands-on workshop·90 min – half day
Fine-tune a small model on a free GPU
QLoRA end to end on hardware a student actually has, with an honest base-versus-tuned comparison — based on FineTune Studio.
Clubs, communities, individuals·60–90 min
Mentorship session or office hours
Built around students' own projects and decisions rather than a fixed syllabus — the format I run for TechVerse Enclave.