AI systems · LLMs · Agents · Compilers · Developer Infrastructure
I build software at the intersection of AI and systems engineering — from LLM-powered applications and agents to programming languages, compilers, developer tools, and AI infrastructure.
My goal is to turn ambitious ideas into software that is useful, reproducible, maintainable, and open to contribution.
- 🤖 AI / LLM engineering — agents, inference, model-powered products
- ⚙️ Systems engineering — compilers, runtimes, concurrency, performance
- 🧩 Programming languages — language design, type systems, IRs, tooling
- 🧠 AI infrastructure — compute, accelerators, experimentation
- 🌍 Open source — projects, documentation, tests, and contributor workflows
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AI-native systems programming language Exploring AI-oriented computation, concurrency, tensors, heterogeneous computing, and native compilation. Stack: Rust · Compiler · BIR/SSA |
Interactive AR/VR creation workspace Combines hand tracking, 2D drawing, 3D creation, gesture interaction, and persistent sessions. Stack: React · Three.js · MediaPipe |
Open-source geospatial platform A full-stack mapping application for Nepal with terrain, landmarks, trekking routes, search, and routing. Stack: MapLibre · Node.js · Express |
AI / LLMs → agents · inference · AI-native applications
Systems → compilers · runtimes · concurrency · performance
Languages → type systems · IRs · language tooling
AI Infrastructure → compute · accelerators · distributed systems
Developer Tools → CLI · automation · DX · testing
Open Source → RFCs · documentation · reproducibility · community
Languages
Python Rust C++ TypeScript JavaScript
AI / ML
PyTorch LLMs Agents Inference
Systems / Web
Linux Docker GitHub Actions React Node.js Three.js
I welcome collaboration from engineers, researchers, students, and builders working on AI systems, programming languages, compilers, infrastructure, and developer tools.
Good contribution paths include:
- 🐛 reproducible bug reports
- 🧪 tests and experiments
- 📚 documentation and examples
- ⚡ performance work
- 🧩 focused features
- 💡 language and architecture RFCs
For substantial changes, start with an issue or RFC so the design can be discussed before implementation.
AI-native software that is technically deep, useful in practice, and open enough for others to build on.
I'm particularly interested in the boundary between AI models and the systems underneath them — languages, runtimes, compute, agents, and developer infrastructure.
If you're building something interesting in AI, systems, open source, or developer infrastructure, I'd be glad to connect.
- GitHub: @Rahulchaube1
- LinkedIn: Rahul Chaube
Build → Measure → Share → Improve
⭐ Star useful projects · 💬 Start a discussion · 🤝 Contribute · 📢 Share what you learn