A researcher, a learner, and a quiet builder of intelligent things.
I'm a PhD candidate in Computer Science and Engineering, working at the intersection of Artificial Intelligence and the systems that shape our daily lives. My work is less about chasing what's new and more about asking how - how can intelligence be woven into the things we already build, the problems we already face, the systems we already trust?
"To understand a system is to understand how it learns, and to design a system is to teach it how to think."
🌱 Building intelligent systems that serve people, not the other way around
📖 Understanding before optimizing, slow research over fast results
🧭 Bridging disciplines, AI with software, with language, with people
🪶 Thoughtful design, code that's readable, papers that are honest, ideas that breathe
I explore the spaces where AI meets other worlds, not as a replacement, but as a quiet collaborator:
| Field | What I Explore | |
|---|---|---|
| 🔍 | Information Retrieval | Helping machines understand language and meaning |
| 🤖 | Intelligent Systems | Designing software that learns, adapts, and decides |
| 🧠 | Applied Machine Learning | Turning data into insight, and insight into action |
| ✍🏼 | Generative AI & LLMs | Exploring how language models can think alongside us |
| 🌿 | Human-Centered AI | Keeping the human at the heart of every algorithm |
- 🔍 Information Retrieval Projects: the foundation of a search engine, written in Python
- 🤖 Intelligent Test Automation: teaching software to test itself
- 🧠 Defect Prediction Models: finding tomorrow's bugs in today's code
- ✨ Generative Test Synthesis: AI imagining the edge cases we forget
- 🪞 LLM-Powered Workflows: language models as quiet research companions
More work lives in the repositories. ↓
When I'm not researching or writing, I'm probably reading, photographing, learning a new language, or asking too many questions about how things work.
I believe the best engineers are also good thinkers, and the best researchers never stop being curious.