CS Student · Future AI Engineer · Builder
I build practical software, study computer science, and contribute to open source.
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AI and ML · C and C++ · Python · systems · developer tools · automation · open source
I enjoy taking an idea or a real problem and turning it into working software. My projects range from systems and databases to AI applications, developer tools, automation, and interactive software.
My current focus is:
- AI and ML — Python, LangChain, Azure AI, AI agents
- Systems and software — C, C++, data structures, databases, APIs
- Developer tools — CLI applications, testing, validation, automation, CI/CD
- Practical products — web applications, automation tools, and projects built around real problems
- Cloud and deployment — Azure, Google Cloud, Netlify, and Vercel
I contribute to existing codebases by learning the surrounding implementation, solving concrete issues, adding tests, and responding to maintainer feedback.
| Contribution | What I worked on |
|---|---|
| Soup #1243 · merged | Fixed Transformers 5 BatchEncoding handling in sequence distillation and added regression coverage |
| Soup #1053 · merged | Fixed Rich markup handling for user controlled model names and added regression coverage |
| Provena #182 · merged | Added regression coverage for top level CLI commands exposed in help output |
| pycubrid #378 · open | Added strict positive integer validation for Cursor.arraysize across sync and async cursors |
| cubrid-mcp-server #1 · open | Fixed SQL comment handling in audit categorization with regression coverage |
My approach is simple: find a real problem, understand the existing code, make a focused change, test it, and verify the result.
An interactive farming decision simulator built around one idea: test important decisions before real money is at stake.
A small SQLite style database engine built from scratch in C, covering SQL parsing, table operations, B tree storage, paging, persistence, testing, benchmarking, and sanitizers.
A lightweight search engine built from scratch in Python with tokenization, an inverted index, TF IDF ranking, Boolean queries, phrase search, JSON persistence, CLI support, tests, and CI.
A practical guide to setting up and working with AI coding agents, writing useful prompts, and getting reliable results.
A Python DB API 2.0 driver for CUBRID with synchronous and asynchronous interfaces, SSL/TLS support, and extensive testing.
An MCP server for working with CUBRID databases, focused on SQL safety, audit behavior, and reliable database tooling.
Understand → build → test → verify → document
I care about understanding why something works, not just getting it to run. I prefer simple architecture, useful tests, clear documentation, and projects that solve a real problem.
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