Computer Engineering Student | Machine Learning Developer | Full-Stack Engineer
I am a Computer Engineering student at the University of Florida with a strong foundation in embedded systems, machine learning, and full-stack development. My experience includes designing closed-loop PID control systems for industrial applications, optimizing thermal testing environments, and building automated data acquisition and monitoring dashboards. In machine learning, I've developed end-to-end PyTorch training pipelines for optimization problems and created automated evaluation frameworks to benchmark predictive models. I have a passion for building robust software solutions, demonstrated by my work on a full-stack, real-time messaging platform using React, FastAPI, and PostgreSQL, complete with WebSocket architecture, JWT authentication, bcrypt hashing, Docker containerization, and CI/CD pipelines. My skills also extend to data analysis and predictive modeling, as I've built Python backtesting frameworks and trained PyTorch and Scikit-learn models for forecasting crypto price movements. Additionally, I've developed Python/Selenium bots for web automation and actively manage budgeting and logistics for outreach programs, successfully raising significant funding. I am adept at problem-solving and leveraging a wide array of technical tools to create efficient and scalable solutions.