I am a Full Stack AI Engineer interested in the point where product thinking, systems work, and intelligence meet. I like software with real users, meaningful data, and enough complexity to reveal what good engineering actually requires.
My route began with automation and IoT, moved through product engineering, and now has me exploring agentic AI. I am early in my career, so I deliberately choose work that makes me build, test, and understand more than I did before.
I want to help build ambitious AI products with long-running context, useful tools, consequential workflows, and enough scale to make the hard decisions matter. The interesting part is not adding AI for its own sake. It is making it dependable, well-bounded, and genuinely useful.
| Now | Looking ahead |
|---|---|
| Agentic systems, MCP, Mastra, tool contracts, context, and evaluation | AI products with real data, multi-tool workflows, and difficult product constraints |
| Full-stack architecture, product interfaces, APIs, data platforms, and release quality | Teams where curiosity, craft, and fast learning are part of the work |
| Work | Why it matters |
|---|---|
| Cognaxis | An AI-assisted journal exploring permission-scoped memory, trustworthy context, and the boundaries of a system that remembers. |
| IET-NASA Space Apps Challenge | Led a six-person unmanned rover concept that received the People’s Choice Award and third prize. |
| Automatic Flushing System | Hydraulics-based research, presented and published through ICTAME and IRJET in 2021. |
| IoT Inventory Prototype | A connected inventory proof of concept designed to reduce floor footprint, manual effort, and delivery time. |
- Google GenAI Academy, 2026 - GenAI Master. Cognaxis grew out of the program.
- IIT Madras NPTEL, 2020-2021 - Operations Management specialization, including Top 1% and Top 10% results.
- IET-NASA Space Apps Challenge, 2020 - People’s Choice Award and third prize.
- IIT Indore, 2021 - Research internship focused on a semi-automated textile pin-arrangement system.
Interested in an AI product, agent platform, or a difficult full-stack problem?
Start a conversation on LinkedIn