Software Engineer | Open Source Contributor | AI & Developer Infrastructure
I'm a Computer Science & IT graduate from SOA University who enjoys working on problems at the intersection of software engineering, AI, and developer tooling.
Over the past few months, I've been going deeper into open source β not just building side projects, but reading unfamiliar production codebases, tracing execution paths, debugging real issues, writing regression tests, and shipping fixes through pull requests.
I'm particularly interested in AI-powered developer tools, code intelligence, backend systems, and production engineering.
- Contributing to open-source developer tools and AI infrastructure
- Exploring AI Engineering, Developer Infrastructure, and System Design
- Working with production codebases across TypeScript, Go, Python, and JavaScript
- Looking to contribute more deeply to open-source-first engineering teams
- Building full-stack applications with the MERN stack
Some of the areas I've been working on:
- Graphify β code intelligence / graph-based developer tooling
- Agent Orchestrator β Go-based agent infrastructure and developer tooling
- Continue β AI-powered developer tooling
- PDA β full-stack open-source application
My open-source workflow usually looks like:
Understand β Reproduce β Trace β Identify Root Cause β Fix β Test β Ship
I'm especially interested in contributions where understanding the architecture and system behavior matters as much as writing the code.
Languages
TypeScript JavaScript Python Go Java C++
Frontend
React Next.js Tailwind CSS Vite Material UI
Backend
Node.js Express.js REST APIs JWT GraphQL
Databases
PostgreSQL MongoDB MySQL Supabase
Engineering & Tools
Git GitHub Actions Docker CI/CD Linux Testing
- AI Developer Tools
- Code Intelligence
- Agentic Systems
- Developer Infrastructure
- Backend Engineering
- System Design
- Open Source Software
- LinkedIn: linkedin.com/in/himanshupatro
- X: @hopstreax
- Email:
akashpatra.334@gmail.com
Outside of software, I enjoy music and singing
Building in public. Learning from production code. Shipping one contribution at a time. Open to Opportunities

