Matthew Brown 2025 Resume

December 2025

matthewbrownie3@gmail.com · linkedin.com/in/matthewbrownie3

Machine learning and data scientist with a knack for client-facing relationships. Excited to deliver high-quality software in a fast-paced, constantly-changing environment.

Education

University of Maine, SCIS — Accelerated Master’s of Computer Science

Graduated May 2024 · GPA 3.810 · Golden Key Honor Society

  • Developed a novel implementation of real-time data streaming in QGIS via a plugin.
  • Focused on real time data streams, computer networking, and data science.

University of Maine, SCIS — Bachelor’s of Computer Science, Summa Cum Laude

Graduated May 2023 · GPA 3.797 · Upsilon Pi Epsilon · Minors: Mathematics, Physics, Psychology

  • Led a team of software developers into a documentation focused, client-based capstone project.
  • Dean’s List for eight consecutive semesters, conducted research under Dr. Roy Turner.

Experience

AI/ML Contractor — GPSL Inc, Remote

February 2024 – Present

  • Architect of ML backend for GPSL’s PriXm project.
  • Lead product presenter for PriXm.
  • Developed an application for use by AEMC into AI research to solve pipeline information problems.
  • Conducted an exploration for the University of Manchester into extraction of genetic sequences from scientific articles to aid in the incorrect sequencing issues currently facing genetic papers.

Teaching Assistant — University of Maine, Orono, ME

August 2023 – May 2024

  • Conducted lectures, developed grading rubrics, taught technical lab sections, and supported students in mastering complex computer science and new media concepts.

Maine Learning Assistant — University of Maine, Orono, ME

Fall 2020 – Fall 2022

  • Assisted with student outreach, exam preparation; assisted and conducted technical recitations.

Lab Assistant — University of Maine, Orono, ME

September 2020 – May 2023

  • Mentored peers with varying proficiencies, enhancing their problem-solving skills and confidence.

Technical Skills

Programming: Python, Java, JavaScript, TypeScript, C

Machine Learning & AI: Data Science, NLP, Data Streams, SQL, Agentic Design

Infrastructure & Security: Networking, CI/CD, Docker

Proficient with command-line interfaces and automation tools.

Soft Skills

  • Exceptional organizational, interpersonal, and teamwork abilities.
  • Skilled at translating complex technical concepts for diverse audiences.
  • Experienced in client communication, requirements gathering, and documentation.
  • Adept at collaborating in both academic and professional settings.

Projects

Simulated Real-Time Data Streaming via QGIS

Master’s Degree Project, Spring 2024 · Published: UMaine Student Symposium, Spring 2024 Tools: Python, XML, QGIS, PyQt

Developed a QGIS plugin to simulate real-time data streaming, visualizing wildfire impacts on air quality. Implemented data windowing, interpolation, and layer visualization. Explored Apache Spark integration but pivoted due to compatibility constraints.

Heat_Bot: A Python Package for Jetbot to Output Thermal Data

Robotics Project, Fall 2023 Tools: Python, Jetbot, Aruco markers, TMP36GZ temperature sensor, MCP3008 ADC

Developed a Python package enabling autonomous navigation and data collection for robotics applications. Visualized collected thermal data as a gradient heatmap.

Macleod System: CLIF Format Translator and Parsing IDE

Capstone Project, 2022–2023 · Published: UMaine Student Symposium, SCIS Showcase, Spring 2023 Tools: Python, CLIF, OWL, TPTP, PyPI, Spyder IDE

Led a team to overhaul a failing repository into a functional library and IDE plugin. Enhanced parser capabilities for modern CLIF syntax and facilitated accurate translation into TPTP and OWL formats.

Comparison of Various Pre-trained and Fine-tuned Sentiment Models

NLP Project, Fall 2022 Tools: Python, VADER (NLTK), TextBlob, Flair, BERT

Analyzed the performance of sentiment analysis models on IMDb reviews. Demonstrated that fine-tuned BERT models outperformed pretrained alternatives in accuracy and speed.

Understanding the Demographics of Movies and TV Series

Data Science Project, Fall 2021 Tools: Python, PyTrends Google API, Matplotlib

Analyzed U.S. states’ search interest in popular movies and TV shows. Explored correlations with demographic factors and identified patterns in media preferences across different regions.

Hobbies and Interests

Golf (Handicap 5), Tennis, D&D Game Master (7+ years), Competitive Video Gaming (Top 1%)

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