Academic Excellence — GATE AIR 224, Physics
PhD researcher at IIT Madras, Department of Physics (Nanotechnology).
About
An AI Product Manager crafting thoughtful, data-informed products from research to release — across AI and marketplace products.
Milestones
Product launches, grants, and milestones from building QlutchGrid and shipping AI products — each card slides in as you scroll.
PhD researcher at IIT Madras, Department of Physics (Nanotechnology).
Took a two-sided marketplace 0→1 in Chennai — 17 live service partners, validated ₹5,000 Cr TAM, cleared TANSEED Round 2 for a ₹50L non-dilutive grant.
Chosen for both startup grant programs to build vernacular voice agents for QlutchGrid.
NextLeap PM Fellowship graduation project — shipped a live LLM-powered MVP that beat users’ existing photo apps in 3 of 3 blind tests.
Recognized as a Top Fellow — the top-performing member of the NextLeap Product Manager Fellowship cohort (Jun–Sep 2026).
What I do
A working toolkit that spans product craft, applied analytics, and delivery — populated as the practice grows and each shipped release teaches something new.
Ran an 89-respondent primary survey and built TAM/SAM/SOM market sizing for QlutchGrid’s Chennai pilot; shaped PRDs and roadmap priorities using RICE.
Shipped an LLM-powered search MVP (Google Photos case study) and a portfolio of AI agents — RAG with refusal guardrails, human-in-the-loop escalation, MCP-based voice-to-cart, and LLM eval harnesses.
Instrumented survey and user-testing pipelines; ran blind comparisons against existing products to validate MVP performance.
Led a 6-7 person product and design intern team at QlutchGrid to ship a UX revamp, multi-garage booking, and a new Direct Pay feature.
Rapid-prototyped AI agent products (support-ticket triage, voice-to-cart grocery agent, app review insights) using LLM APIs before committing to full builds.
Selected Work
A selection of shipped experiments and in-progress explorations across AI, product, and analytics. Scroll to peel through the stack.
Case Studies
Deep-dive case studies across AI, analytics, and consumer product surfaces — research, framing, and shipped outcomes.
Product Teardowns
Breakdowns of real product surfaces — what broke, why it broke, and the product lesson underneath.
Timeline
From physics research to building and shipping AI-driven products — a path shaped by curiosity, data, and hands-on building.
Took a two-sided marketplace 0→1 in Chennai — 17 live partners, cleared TANSEED Round 2 for a ₹50L grant, selected for Sarvam + ElevenLabs startup programs.
Registration Kept Alive (RKA) status, available full-time.