Computer Science Graduate · Developer
Computer Science graduate passionate about building real-world applications while exploring new technologies. I enjoy learning by building and believe hands-on experience is the most effective way to develop technical skills. Always eager to take on new challenges and continuously improve as a developer.
Selected work
Things I've built while learning by doing.
AI Hunger Games — A multi-agent CLI game where 8 distinct AI personalities, powered by the same local LLM (via Ollama), independently answer user questions and vote on each other's responses — never their own. Every 4 questions, the lowest-voted personality is eliminated and replaced by a freshly AI-generated character, keeping the roster evolving over a full 28-question game. Built in Python, exploring persona-driven prompting, structured output parsing, and local LLM orchestration. Currently adding a debate round where personas react to each other before voting.
Recognition
Developed QSense Factory, an edge-AI powered maintenance solution for industrial machines, during a 24-hour hackathon. Working with Snapdragon technologies and Arduino UNO Q, our team built a functional prototype that earned the Multiverse Innovation Prize — showcasing innovation, teamwork and rapid problem-solving.
Jury Award
Built an embedded AI solution using the Seeed Studio XIAO ESP32S3 Sense. Despite being new to TinyML, I quickly learned the fundamentals of edge AI and developed a working prototype — earning the Jury Award for innovation and execution.
Say hello
Open to internships, collaborations and interesting problems. Reach out on any of these channels.
