I build the systems plumbing, concurrent pipelines, and secure runtime isolation that AI coding-agent startups are racing to ship.

AutoPatch-AI: An autonomous, self-healing code remediation agent built on a LangGraph state machine. I engineered a zero-trust Docker execution layer (network_disabled=True, 256 MB RAM / 128 PID hard limits), streamed real-time telemetry over lock-free thread queues via SSE, and moved from full-file diffs to Search/Replace block patching, cutting generation overhead by ~80%. Achieved a 100% resolution rate (5/5) on a custom Micro-SWE-bench harness with an average time-to-resolution of ~205 seconds. GitHub: https://github.com/sriramvarun0636/AutoPatch-AI

SentinelPrime: A multi-threaded, regime-aware options trading system for live WebSocket market data. Built using an Actor Model architecture over daemon threads to isolate database I/O and broker API calls, with an asynchronous Token Bucket rate limiter and atomic SQLite (WAL) persistence. GitHub: https://github.com/sriramvarun0636/SentinelPrime

HydraPrime: A systematic XAUUSD trading EA in MQL5. Backtested (not live) over two years on 96M+ real ticks, achieving a 1.37 profit factor, 13.8% maximum drawdown, and 252% net return. GitHub: https://github.com/sriramvarun0636/HydraPrime

B.E Computer Science undergrad at NIT Allahabad (Class of 2027).

Looking for a founding or early-stage software engineering role on an AI-agent, developer tool, or high-performance backend systems team. Open to full-time or contract opportunities.