CS & CE Student building towards
ML/RL Infrastructure & Agents
I'm currently pursuing a dual degree in Computer Science and Computer Engineering. While I haven't entered the industry yet, I'm actively building the foundations for a career in ML/RL infrastructure and agents.
My coursework, competitive programming experience, and personal projects are all stepping stones toward this goal. I believe the future of AI depends not just on better models, but on the systems and infrastructure that make them efficient at scale.
I also enjoy exploring AI-assisted development — using tools like Copilot, Claude, and Gemini to push the boundaries of what a single developer can build.
Lately I'm focused on agentic workflows and local LLM tooling. I play with LM Studio and Ollama, and connect Ollama to Python via its local HTTP API for fast experiments.
Self-taught. Used for competitive programming — participated in the Ada Byron regional ICPC contest. Also used in Design and Analysis of Algorithms.
Learned through Introduction to Programming, Data Structures, and High Performance Computing.
Learned through Object Oriented Programming, Concurrency, and Advanced Algorithms.
Strong interest in algorithms. Completed a 20-hour course at university. Participated in the Ada Byron regional ICPC.
Implemented CBOW word2vec without PyTorch, focusing on the full training loop and embedding optimization.
Turn-based zombie survival strategy game with Swing GUI. Features dual interface, OOP architecture, and save/load system.
Browser-based evolutionary simulation where plants, herbivores, and predators interact and evolve.
Browser-based wallpaper generator with geometric patterns, symmetry modes, and real-time preview.
Trying to make AI fake pixel art to useful real pixel art.
Interested in collaborating or just want to say hi? Feel free to reach out.
