Evan Lewis

Computer Science student focused on machine learning, financial technology, and practical software systems.

Portrait of Evan Lewis

About

Brief Bio

I am a Computer Science student at the University of Maryland pursuing a machine learning concentration and a business minor, with an expected graduation in May 2027. I am interested in the overlap between software engineering, data-driven decision making, finance, and emerging technology, with experience across backend systems, climate computing research, and applied machine learning projects.

Background

Experience

June 2025 - August 2025 Dallas, TX

Software Engineer Intern, Texas Instruments

Engineered a soft bounce email management system designed to protect email credibility, including internal SQL databases and Python scripts that synchronized systems through SendGrid API calls.

January 2025 - May 2025 College Park, MD

Peer Research Mentor, University of Maryland

Mentored students in the Climate Computing stream of FIRE, supporting research development, data analysis, modeling, and presentation of undergraduate research posters.

August 2023 - December 2024 College Park, MD

Climate Computing Researcher, FIRE

Researched relationships between wave activity flux and Arctic weather patterns, writing Python scripts for simulations and analysis on Derecho, the NCAR supercomputer.

February 2022 - August 2022 Rockville, MD

Software Engineer Intern, Perlman Camp

Built and refined a Java-based dynamic sorting algorithm for camper activity placement, using Apache POI to read and write operational data from Excel sheets.

Work

Projects

Python / Pandas / NumPy / Streamlit / Plotly

Real-Time Option Volatility Surface

Built a financial analytics application with live Yahoo Finance data, interactive 3D volatility surfaces, Black-Scholes pricing, Greeks calculations, and implied volatility construction.

Python / NLTK / Scikit-learn / Seaborn

PlanetTerp Teacher Rating Predictor

Created a machine learning model to predict professor ratings using review sentiment analysis and feature extraction, comparing linear regression, ridge regression, and random forest models.

Reading

Books I Enjoy

  • The Changing World Order by Ray Dalio
  • The Iliad by Homer
  • The Oresteia by Aeschylus
  • One Up On Wall Street by Peter Lynch
  • The Big Short by Michael Lewis

Film

Movies I Enjoy

  • The Prestige
  • The Shawshank Redemption
  • The Pianist
  • The Lord of the Rings Trilogy
  • Django Unchained