AI systems engineer in the making. I build tools that expose how a system works: its state, failure modes, and evidence that it behaves as intended.
Computer Science at VIT Vellore · Based in India · Interested in AI infrastructure, evaluation, distributed systems, and robotics.
- CodexBar — merged PR #4528: Fixed cross-browser cookie permission diagnostics so Chrome and Safari recovery guidance is preserved, with regression tests for error ordering and precedence. Merged by the maintainer; credited as a co-author on a follow-up commit.
- OpenStatus — merged PR #2908: Fixed the Email subscription option on self-hosted status pages when a workspace enables it. Added regression tests and refined the server and component boundaries through maintainer review.
| Project | What it explores |
|---|---|
| AI Eval Engineering | A TypeScript evaluation harness for prompts and agents, with graders, trajectory metrics, cost and latency tracking, and release gates. |
| Production Agent Skills | Eight portable engineering, data, and product skills with validation and evaluation cases. |
| Exchange Core | A C++20 limit order book with pre-trade risk, a write-ahead journal, deterministic replay, and network gateways. |
| SAAYA VERIFY | An evidence-led cooling shelter research concept and tabletop fabrication candidate. |
- AI systems: evaluation, retrieval, agents, and efficient inference.
- Systems engineering: deterministic behavior, observability, storage, and distributed systems.
- Robotics: connecting software decisions to the physical world.
I learn by building the underlying pieces, testing them, and making the tradeoffs visible. My recent work spans Python, C++, TypeScript, and full-stack tools.