I’m an AI/ML engineer who’s been building production systems since college, not just experimenting in notebooks. I come from a tier-3 college, bootstrapped an AI startup during my undergrad, and have worked across startups and MNCs in applied AI, MLOps, agentic systems, and RAG. I’ve shipped systems that handle real traffic, power real products, and directly contributed $500K+ in revenue. I work end-to-end, from problem framing → data pipelines → models → infrastructure → deployment. I’m comfortable switching between ML engineer, data scientist, backend engineer, and founder depending on what the problem needs. I’ve interviewed extensively for founding engineer and core AI roles, received multiple offers, and mentored students and early-career engineers trying to break into ML the right way, without pedigree, buzzwords, or false promises. You can talk to me about: • Breaking into ML / Applied AI from a non-elite background • ML Engineer vs Data Scientist vs Applied AI, what actually matters • Building production-ready ML systems (not demos) • Startup vs MNC tradeoffs for AI engineers • Interview prep for AI / founding engineer roles • Honest resume, project, or career feedback How I can genuinely help: • I don’t sell motivation or roadmap PDFs. • I can help you think clearly, avoid common traps, and build things that actually move your career forward. Direct. Practical. No filters.