CS & AI / Builder / Educator
I'm a computer science graduate (M.S., Tufts University) with a background in economics. I focus on AI, robotics, and building practical tools that bridge technology and real-world needs. Currently planning an interactive teaching platform for CS & AI education.
My mission: make education simpler with AI — so anyone can master complex concepts and build real projects with ease. I'm creating an interactive platform for CS & AI learning, featuring hands-on exercises, visual explanations, and progressive paths from zero to deployment.
A 2D Westworld — five AI villagers live, scheme, and dream in a simulated medieval world. They plan their days, reflect on past events, and consolidate memories each night. Built on Stanford's Generative Agents architecture.
An end-to-end ML-powered color calibration system — from model selection and training to real-time browser deployment. Identifies and corrects color deviations through your camera in real time.
Next-gen cleaning robot trained with reinforcement learning in NVIDIA Isaac Sim, deployed to ROS 2 and real hardware. Features progressive tasks from navigation and coverage optimization to computer vision and mobile manipulation.
Researching security vulnerabilities in open-source multimodal model deployments from visual prompt injection. Building attack vectors and defense mechanisms.
Predicting weather conditions from sky images using computer vision and deep learning. Combines CNN-based visual feature extraction with meteorological data for real-time forecasting.
Focus on AI, Deep Learning, Reinforcement Learning, and Robotics.
Enriched my knowledge in CS and AI through open courses.
Focus on quantitative methods and data science.