Data Scientist • ML Engineer

Building practical AI products and clean technical interfaces.

I work on ML systems, reinforcement learning experiments, and lightweight web demos to communicate results clearly.

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3+ Projects shipped

RL Research focus

Fast Clean delivery

Selected Projects

Short, outcome-focused summaries with links to code and demos.

MiniChess-RL

Q-learning agent trained to play MiniChess. Includes evaluation against random opponent and training logs.

PythonRLQ-learning

Live Demo Code

DQN CartPole

Deep Q-Network baseline with replay buffer, target network, and learning curves.

PyTorchDQNGym

Report Code

Technical Website Template

Minimal portfolio template optimized for readability and quick deployment on GitHub Pages.

HTMLCSSResponsive

Gallery Code

Skills

Tools I use for ML research and production-minded prototypes.

Machine Learning

Deep learning, reinforcement learning, evaluation, experiment tracking.

PyTorchNumPyMatplotlib

Engineering

Clean code, reproducible setups, lightweight web interfaces for demos.

PythonGitHTML/CSS

About

Short, credible, and aligned with AI/RL.

I’m an AI researcher focused on reinforcement learning and decision-making. I enjoy building minimal, high-signal portfolios and demo pages that make technical work easy to understand.

Contact

For collaborations or a custom portfolio/academic website.

Email me LinkedIn