Software Engineer · AI/ML · Open Source

I build reliable software across backend systems, AI/ML, computer vision, and AI infrastructure. I enjoy debugging complex issues, improving system reliability, and contributing to open-source projects.

Currently exploring LLMs, AI agents, RAG, and production ML systems.

GitHub · LinkedIn · Email

• Languages: Python, JavaScript, SQL, C
• Backend: Django, Node.js, Express.js, REST APIs, JWT
• Frontend: React, HTML, CSS
• AI/ML: Scikit-learn, NumPy, Pandas, OpenCV, MediaPipe
• Databases: MongoDB, MySQL, SQLite
• Engineering: Git, GitHub Actions, CI/CD, Unit Testing, Regression Testing, Debugging

AI/ML monitoring and failure-detection infrastructure.

• 16 PRs · 12 merged · 4 open
• Improved detector reliability, asynchronous processing, state management, authentication, and error handling.
• Contributed to latency tracking, deduplication, ingestion contracts, and regression testing.

Repository →

AI agent infrastructure focused on task continuity, recovery, and reliability.

• 78 PRs · 47 merged · 13 open · 18 closed
• Worked on session recovery, checkpoint restoration, concurrency, and resource management.
• Improved Windows compatibility, CLI behavior, benchmarking, CI, and test reliability.

Repository →

Zidio Development — Web Developer Intern
June 2025 – July 2025

• Developed a full-stack analytics platform using React, Node.js, Express.js, and MongoDB.
• Implemented Excel/CSV ingestion, data processing, JWT authentication, and REST APIs.
• Built interactive dashboards and configured deployments using Vercel and Render.

Backend engineering · System design · LLMs · AI agents · RAG · Production ML · Reliability engineering

Building reliable systems, solving engineering problems, and contributing to open source.