AI/ML engineer building agentic systems, applied ML pipelines, and full-stack tools — from LangGraph-based agents and neuro-symbolic reasoning systems to native app development and CI/CD automation.
- 🧠 Focused on: agentic systems (LangGraph), neuro-symbolic AI, applied ML
- 🛠️ Recently built: a self-healing CI/CD agent, a GNN-based safety-routing app, a macOS native app
- 🌱 Currently building a reinforcement learning project
- 📫 [email protected]
|
Combines an LLM parser with a symbolic CSP solver and a LangGraph retry loop, so scheduling is both language-fluent and logically guaranteed correct. Benchmarked against a pure-LLM baseline on ambiguous, adversarial cases.
|
🛣️ SafeRouteSafety-aware navigation web app for Indian roads. A custom weighted routing algorithm blends travel time with crowdsourced, segment-level road safety ratings.
|
🌸 AniWallNative macOS menu bar app that fetches 4K anime and aesthetic wallpapers via the Wallhaven and Unsplash APIs. Full code-signing and distribution built from scratch.
|
LangGraph agent that detects, diagnoses, and fixes failed GitHub Actions pipelines, then opens a PR with the fix. Published as a GitHub Marketplace Action.
|
|
An MCP (Model Context Protocol) server for tracking personal expenses through natural language, backed by SQLite. Built for MCP-compatible clients like Cursor.
|
