About
Senior AI / ML engineer with 10+ years of applied experience building production AI systems across startups and large organizations.
I’ve spent over a decade building applied AI across startups and large organizations, focusing on agentic systems, orchestration (Temporal, LangGraph, async workflows), and evaluation/monitoring patterns. My work bridges the gap between impressive demos and dependable products, with hands-on experience in reliability, HITL, and real-world failure modes.
Recent projects include production LLM and agentic systems embedded into real workflows, where reliability, evaluation, and human oversight matter as much as model quality. I enjoy pressure-testing failure modes, making trade-offs explicit, and building systems that hold up under real-world constraints.
Experience
- Nexcade — Founding AI Engineer: designed and built multi-agent automation and Temporal-orchestrated workflows for quotation systems handling $50k+ per day.
- KIRO — Tech Lead / Technical Advisor: led development of a production multi-agent RAG chatbot platform used by 1,000+ users, supporting a $200k pre-seed raise.
- Rephrase AI — Principal AI Engineer: built large-scale text-to-video and generative systems; technology acquired by Adobe and integrated into Firefly.
- Samsung R&D — Deep Learning Research Engineer: shipped deep learning optimization frameworks achieving up to ~80% cost and latency reduction in internal platforms.
What I’m focused on now
- Production reliability and evaluation of LLM and agentic systems
- Long-running workflows, orchestration, and observability
- High-leverage technical and product decisions in AI products
What I’m looking for
Senior AI / ML engineering roles focused on building and scaling production AI systems.
Education
- MBA — London Business School (Wharton exchange)
- B.Tech (Hons) — IIT Bombay (Rank 1)
Selected Projects
Selected projects are available on GitHub.