AI & Backend Engineer — agentic systems & distributed backends
Open to full-time roles & internships
I'm an AI & Backend Engineer focused on distributed systems, agentic AI, and deep machine learning. I like building intelligent systems from the ground up — robust backend services in Go and Rust, and multi-agent networks in Python and TypeScript. I contribute to open source (including LiteLLM), write the occasional technical exploration, and spend spare cycles on competitive programming to keep my algorithmic thinking sharp.
Electronics & Communication Engineering
A multi-agent AI system for cloud-infrastructure monitoring — incident triage, root-cause analysis, and automated patch generation.
Open-source multi-agent orchestration engine that automates the heavy lifting of Site Reliability Engineering.
An interaction-driven architecture where autonomous agents collaborate to execute tasks across software systems and devices.
An open-source, reproducible research environment built for professional researchers.
A production-grade, geometry-only pipeline for 3D indoor-scene semantic segmentation using unsupervised clustering.
A small utility to convert just about anything into a clean PDF.
Build-your-own AI SRE agents — the open-source toolkit for the AI era. Merged PRs and resolved issues.
An OSS edge-to-cloud AI deploy CLI — optimize, verify, and deploy across Jetson, RTX, Apple Silicon, and AMD.
Three-layer Expected-Goals model with Bayesian player calibration and a real-time CV pipeline (YOLOv8 / RT-DETR + ByteTrack).
