I like building projects that teach me something real. My work so far sits at the intersection of AI experimentation, backend systems, and practical web development, with each repository pushing a different part of that journey forward.
Right now I am especially interested in:
- AI and ML workflows that move from idea to working prototype
- FastAPI systems and agent-ready environments
- Frontend projects that sharpen problem-solving and product thinking
- Learning by shipping and documenting the process in public
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Built an OpenEnv-compatible ticket-booking environment for Hugging Face Spaces with FastAPI APIs, interactive web UI, and multi-task evaluation flows. |
Worked on a network intrusion detection project that combines Python with web technologies to explore ML-driven security analysis. |
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Experimented with reinforcement-style training ideas around OpenEnv and Hugging Face workflows for ticket-booking tasks. |
Built a Python notebook project that interacts with AI bots and keeps a repository-style log of earlier chats and outputs. |
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Used TypeScript, CSS, and JavaScript to create a playground for rapid experimentation and cleaner iteration. |
Built learning-focused projects like OS_CSE_quiz and Ed-Tech-Website to strengthen HTML, CSS, and vanilla JavaScript skills. |
- More capable AI agents and evaluation environments
- Stronger backend engineering habits through Python and FastAPI
- Better product sense through small, complete web projects
- A portfolio that shows steady growth instead of random experiments
I care about learning deeply, building honestly, and making every project a little sharper than the last one. The goal is not just to collect repositories, but to turn them into proof of skill, curiosity, and consistency.