Projects

Systems, experiments, and things I've built

Projects

Real implementations, experiments, and technical work. Each project includes architecture details, lessons learned, and links to code or live demos.

Project 1

Distributed ML Training System

Python • TensorFlow • Kubernetes

Built a distributed training system that reduced model training time by 60% using custom scheduling algorithms and efficient data pipelines.

Project 2

Real-time Code Analyzer

Rust • WebAssembly • React

A browser-based code analysis tool that runs entirely client-side using WebAssembly for performance. Handles large codebases efficiently.

Project 3

Algorithm Visualizer

TypeScript • D3.js • Next.js

Interactive visualizations for common algorithms and data structures. Used by 10k+ students learning computer science fundamentals.

Project 4

Performance Monitoring Library

Go • Prometheus • Grafana

Lightweight monitoring library with zero dependencies. Tracks application metrics with minimal overhead and exports to standard formats.

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