Tom Mitchell

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About Me

Hello! I'm Tom Mitchell, a passionate software engineer with a unique blend of expertise in computer science, mathematics, astronomy, and meteorology. My diverse background allows me to approach problems from multiple angles, creating impactful projects that bridge the gap between scientific research and practical applications.

Whether it's building user-friendly web applications or diving deep into data analysis, I'm always eager to take on new challenges. When I'm not coding, you can find me skiing, playing chess, flying, and chasing sunsets (Photos). I'm constantly seeking new opportunities to learn, grow, and collaborate on exciting projects.

Check out my projects below!

Projects

Connections Racer

Connections Racer

A multiplayer version of the NYT Connections game. Built with React, Node.js, and Socket.io. MongoDB for database. Render for hosting.

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Terp Course Watch

Terp Course Watch

A course notification manager for UMD students. Built with HTML/CSS/JS frontend and Python backend, hosted on Firebase. (No longer maintained)

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AI Counselor

AI Counselor

An AI assistant that processes university course PDFs and responds to natural language queries. Developed the backend using Python and Flask.

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Work Experience

Center for Advanced Transportation Technology Laboratory (CATT Lab)

Sep 2024 - Present

Optimizing data ingestion, cleaning, and performance for RITIS (Regional Integrated Traffic Information System) to enhance traffic management decision-making, improve data quality, and streamline user experience for transportation professionals.

US Army DEVCOM Army Research Laboratory (ARL)

Jun 2024 - Aug 2024

Leveraged realtime transportation data to develop a cutting-edge machine learning model. This model was designed to classify traffic incidents, enhancing reporting of incidents and improving road safety.

Astronomy Research

Mar 2023 - Jan 2024

Abstract of my research was accepted at the American Geophysical Union (AGU23) Annual Conference.

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Climate Science Research

May 2023 - Aug 2023

Used the Cheyenne supercomputer to find meaningful correlations between polar storms and sea ice loss.

Contact

Feel free to reach out to me via Email or connect with me on LinkedIn and GitHub.