Matthew Robinson Tech Leader & Software Architect

Career

Experience

Rad AI

Remote

Building software that helps radiologists read imaging studies faster and more accurately.

Senior Software Engineer

Mar 2026 – present

Computer Aid, Inc. (CAI)

Data and AI · Remote

Architect and manager for a team of five building AI applications.

  • AI applications worth over $6M in documented gains
  • Monolith to microservices: 99%+ uptime, 300%+ throughput
  • Helped win seven-figure client contracts
  • Grew junior developers to mid-level in months

Lead Technical Architect

Nov 2025 – Mar 2026

Lead Software Developer

Nov 2024 – Nov 2025

Software Developer

Jun 2024 – Nov 2024

Quantum Imaging & Therapeutic Associates

Lewisberry, PA

Built and launched three full-stack web apps for radiology practices nationwide.

  • Case-assignment algorithms that raised radiologist productivity 25%
  • A scalable study-selection algorithm built on data analysis
  • Workforce analytics research presented to the C-suite

Software Engineer

May 2019 – Jun 2024

Penn State Harrisburg

Middletown, PA

  • Taught advanced algorithms and data structures
  • Published and defended research in AI and neural networks
  • Tutored math, science and programming

Graduate Research and Teaching Assistant

Aug 2020 – May 2021

Peer Tutor

Jul 2017 – May 2020

Middletown Public Library

Volunteer, while at Penn State · Middletown, PA

Directed the library’s STEM club for kids and ran a second club for teens at the same time.

  • Planned the sessions and organized the volunteers
  • Also ran a summer reading program for children

Director, STEM Club for kids

May 2018 – Mar 2020

Teen STEM Club

May 2018 – Mar 2020

Education

Penn State Harrisburg

Middletown, PA

  • M.S. and B.S., Computer Science 2016 – 2021
  • Magna cum laude, with honors · GPA 3.98
  • Outstanding Graduate Student Award, Computer Science department
  • Capstone Award winner
  • Capital College Honors Program · Mathematics Club

Master’s thesis: Neural Networks and Self-Organizing Cellular Automata (2021). A framework that evolves neural networks to compute the local rules of a cellular automaton, so that from an initial state it grows into a target image. It adds a gradual and companion learning approach akin to transfer learning, and tests the idea on predicting protein interactions from global behavior.

Certifications

  • Leadership Essentials · CAI Jun 2025

Service

  • Capstone project judge · Penn State Harrisburg Most recently Apr 2026