CSE undergrad at SRM University AP ('28), working at the intersection of backend systems, AI agent infrastructure, and scalable architecture. Currently independent — actively building projects, exploring system design in depth, and open to internship and collaboration opportunities.
My work gravitates toward:
- Designing backend systems with attention to scalability, observability, and clean API contracts
- Building AI-native tooling — agents, MCP servers, LLM inference pipelines
- Exploring distributed systems patterns: event-driven design, concurrency, and fault tolerance
- Writing production-quality code with emphasis on maintainability and architectural clarity
- Balancing active DSA practice alongside development — strengthening the algorithmic foundation that underpins good system design
Languages
Backend & Infrastructure
Frontend
| Project | Description | Stack |
|---|---|---|
| NervShell | AI shell agent — translates natural language to machine commands via HTTP; LLM inference layer over a local command interface | TypeScript · LLM APIs · HTTP |
| ClauseGuard | Legal risk intelligence system that parses complex contracts and returns structured, actionable risk analysis | TypeScript · AI pipelines · Next.js |
| universal-dev-mcp | MCP server exposing the local dev environment as a tool interface for AI agents — bridges Claude, Cursor, Windsurf, and others via a unified API | TypeScript · MCP Protocol · API Design |
| vChat | Browser-based video conferencing system; WebRTC signaling architecture with real-time room and session management | TypeScript · WebRTC · Socket.io |
| Tracely | Browser extension that detects and classifies third-party tracking scripts across websites; client-side data pipeline | JavaScript · Browser APIs |
| chit-chat | Real-time messaging system built on event-driven architecture with Socket.io and MERN stack | MERN · Socket.io |
Areas I actively study and build toward:
- API Design — REST conventions, versioning, contract-first development
- Distributed Systems — consistency models, event-driven patterns, message queues
- Database Architecture — schema design, indexing strategies, query optimization
- AI Agent Infrastructure — tool-use pipelines, MCP protocol, LLM orchestration
- Observability — logging, tracing, and monitoring in production systems