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Namaste!! I’m Heet, a Computer Engineering student building at the intersection of AI/ML and full-stack development. I ship products, not just prototypes.
Portfolio: heetworld.tech · Autodevs: autodevs.dev
- Building RAG systems that work in production
- Contributing to open-source AI tools, including Ollama and Bumblebee
- Shipping full-stack AI products end-to-end
- Exploring agentic workflows, multimodal retrieval, and evaluation pipelines
Computer Engineering student specializing in Web Technologies and AI/ML, focused on building systems that are functional, accessible, and well-engineered, from training ML models to shipping production apps.
| Area | Technologies |
|---|---|
| Languages | JavaScript, TypeScript, Python, C, C++, HTML5, CSS3 |
| AI/ML | RAG systems, LLM applications, data science, ML pipelines, model evaluation |
| Web | React, Next.js, Node.js, responsive design, accessibility |
| Tools | Git, GitHub, Docker, Linux, Figma, VS Code |
Building production-grade retrieval pipelines, from naive to advanced architectures with dense passage retrieval, hybrid search, query routing, and re-ranking. Currently exploring agentic RAG and multimodal retrieval.
Developing real-world LLM-powered products, from chatbots to autonomous coding assistants. Focused on tool use, structured outputs, and evaluation frameworks.
End-to-end development where AI models meet production infrastructure: API design, deployment, monitoring, and scaling ML workloads, not just notebooks.
Contributor to projects I actually use. I have contributed CLI features to Perplexity’s Bumblebee, improvements to Ollama’s inference framework, and robust layer-count parsing to AirLLM.
| Project | Description | Stack |
|---|---|---|
| autodev | Cross-platform dev environment bootstrapper — detects tech, installs runtimes, dependencies, and tools in one command | TypeScript Node.js CLI |
| BinaryBattles | Real-time competitive coding platform with live matching, scoring, and leaderboards | React WebSocket Algorithms |
| Coastal Guardian | AI-powered coastal threat assessment using satellite imagery and ML models | Python Computer Vision ML |
| Coding Bingo | Multiplayer coding games for developers and teams | Full-Stack Real-time Gamification |
| Data Science Fundamentals | Comprehensive notebooks covering statistics, analysis, visualization, and ML basics | Python Jupyter Statistics |
| Project | Contribution |
|---|---|
| Perplexity Bumblebee | TUI |
| Ollama | llm: set ROCm Tensile lib path |
| AirLLM | robust layer-count parsing for nested checkpoint prefixes |
Building intelligence, one commit at a time. Built with code + curiosity



