Before RAG.NextUpgrad, before FineTune Studio, before SCULT INDIA — there was Living Space Automation, my first major tech project, and it failed hard. I bring this up on stage every time I mentor first-years, because it's more useful to them than any of the wins.
What actually went wrong
I scoped it around what sounded impressive rather than what I could actually finish, and I didn't test the core assumption early enough to catch that it didn't hold. That combination — ambition without validation — is the most common failure mode I still see in student projects.
The distance between that and now
A few years later: five production AI applications shipped end to end at NextUpgrad, three hackathon first prizes, GenAI Engineer at SCULT INDIA, and 200+ students mentored through TechVerse Enclave. None of that happens without the failure first — it's where I learned to validate before building, not after.
Why I lead with this, not the wins
A student who's never shipped anything relates to a failure far more than to a trophy case. The failure is the part that says: you can start exactly where I started.
GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU Kanpur) and BYTEBATTLE (MeetKats).
Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. Email pranjulrathour41@gmail.com.
