Building a Multi-Agent Research Pipeline with LangGraph
How I built Orchestra — a production-grade research orchestration system with 5 specialized agents working in concert.
Read more →I'm an AI engineer from Bangalore who builds systems at the intersection of artificial intelligence, robotics, and cloud infrastructure. I believe the most interesting problems live where software meets the physical world.
Currently exploring multimodal AI agents, computer vision on edge hardware, and autonomous cloud operations. I work with Python, Rust, C, and whatever else gets the job done.
When I'm not shipping code, you'll find me tinkering with ESP32-CAM modules, optimizing LLM inference pipelines, or reading about distributed systems.
Building multimodal AI agents and autonomous systems at the intersection of computer vision, LLMs, and cloud infrastructure.
AI-powered autonomous cloud operations platform. Natural language infrastructure management, anomaly detection, auto-remediation.
Production-grade multi-agent research orchestration with LangGraph, FastAPI, PostgreSQL, and Prometheus.
macOS desktop app — prompt compiler with multi-pass optimization, WASM plugins, local LLM inference via Metal GPU.
Three ESP32-CAM projects: ML dataset capture, real-time color tracking robot, 60 FPS MJPG streaming server.
Active open source contributions. Building tools for the AI and developer community.
I believe the most interesting problems live where software meets the physical world.
Every project is an experiment in what happens when you ship fast and iterate relentlessly.
Full-stack AI engineer comfortable from embedded firmware to cloud orchestration.
The best tools are the ones that get out of your way when you're in flow.
AI-powered autonomous cloud operations platform that behaves like an experienced SRE team. Deploys, monitors, detects anomalies, and repairs services automatically.
GitHub →Production-grade AI research orchestration with 5 specialized LangGraph agents — search, extract, verify, synthesize, critique — producing verified reports with confidence scoring.
GitHub →macOS desktop app that treats prompts as source code — compiles through a multi-pass optimization pipeline with WASM plugins, local LLM inference, and cloud provider support.
GitHub →Three ESP32-CAM projects: web-based image capture for ML datasets, real-time color tracking robot, and full-featured MJPG video streaming server at 60 FPS.
GitHub →Every project is open source. Code speaks louder than words.
Building in public means shipping fast, breaking things, and learning out loud.
Competitive programming keeps my fundamentals strong. I solve DSA problems to stay sharp.
How I built Orchestra — a production-grade research orchestration system with 5 specialized agents working in concert.
Read more →Designing a cloud operations platform that deploys, monitors, and heals itself — inspired by how humans reason about incidents.
Read more →Real-time HSV tracking, MJPG streaming, and ML dataset collection on constrained hardware. What I learned building the Vision Suite.
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