Glenn Wysen

Hi. I'm Glenn Wysen

Software Engineer based in NYC, currently with the New York Mets. As part of the Performance Technology team, I focus on leveraging player biometrics and data analytics to enhance on-field success and create impactful technological experiences. I specialize in building secure, scalable software solutions and have a keen interest in computer graphics and astrophysics.

Let's Go Mets!

Glenn Wysen

About Me

I graduated from UC Berkeley in 2021 with a double major in Computer Science and Astrophysics. My academic background provided me with a strong foundation in algorithmic thinking, data analysis, and complex problem-solving. I thrive in environments that demand continuous learning and adaptation.

Beyond my professional work, I'm passionate about creative pursuits. You can often find me composing electronic music, training for marathons (always up for a running buddy!), or diving into new coding projects to explore emerging technologies. An area of computer science I'm particularly excited about right now is real-time computer graphics and its applications in various industries.

Hobbies & Interests

Marathon Running

Training for and running marathons has taught me a lot about discipline, perseverance, and pushing my limits. It's a fantastic way to explore the city and stay active.

Marathon Running

Electronic Music Production

Creating electronic music is one of my favorite ways to unwind and express creativity. I enjoy experimenting with different synths, drum machines, and samples to produce unique sounds and compositions.

Ableton Live Music Production

Ultimate Frisbee

I started playing Ultimate when I was 8 years old and it has been a significant part of my life. I've had the privilege to play with many competitive teams including Oakland Guerrilla (Club), the Oakland Spiders (UFA), American Barbecue (Club), and my college team, California Ursa Major. For some highlights, check out the Ursa Major YouTube channel.

California Ursa Major Team

Experience

New York Mets, NYC

Software Engineer - Performance Technology · Jan 2025 - Present

  • Contribute to the Performance Technology team, focusing on enhancing player development and on-field strategy.
  • Develop and maintain innovative video analysis tools and applications to support batter training and performance insights.
  • Utilize strong communication skills to translate complex technical data and analytical concepts into actionable information for coaches and players.
  • Collaborate on various performance technology initiatives to provide a competitive edge.

AWS - Key Management Service (KMS)

Software Engineer · Sep 2022 - Dec 2023

  • Led an internal tooling project to automate log analysis for engineers, reducing average ticket resolution time by 80%.
  • Onboarded KMS's host management fleet to AWS CloudWatch, leading to 2x faster issue resolution through metric-driven dashboards and alarms.
  • Decoupled KMS's internal cryptographic service into a control plane, data plane, and log plane. This improved core cryptographic operation latency by 20% and allowed for parallel development at scale while maintaining FIPS 140-3 level 3 certification.
  • Served as a backend on-call engineer, ensuring the health of the worldwide KMS Hardware Security Module fleet. Improved my skills of working under pressure to diagnose and resolve critical incidents, minimizing downtime and customer impact.

Next Insurance, Palo Alto, CA

Software Engineer · July 2021 - July 2022

  • Enhanced screening logic in Kotlin to prevent automatic policy declines based on recent felonies. These efforts balanced focusing on data-driven decision-making with real world critical analysis of issues that disproportionately affect people of color.
  • Developed a Slackbot using Selenium for web scraping, saving 50 hours/week for the Insurance Compliance Team.
  • Leveraged Python, Pandas, and Selenium to automate document retrieval and storage for over 5,000 insurance forms every week.
  • Utilized SQL and Tableau to manage and analyze data, responding to over 200 requests from state departments of insurance.

Air Force Research Lab, Albuquerque, NM

Solar Physics Lab Assistant · May 2018 - Aug 2018

  • Conducted research on solar irradiance variation and its effects on Thermosphere/Ionosphere models.
  • Analyzed solar irradiance data from NASA satellites using IDL, contributing to a more accurate atmosphere model for Low Earth Orbit (LEO) satellite safety.

My Projects

Here are a few projects I've worked on, showcasing my skills in AI, computer graphics, and software development from my time at UC Berkeley, alongside a space for ongoing UI experiments.

Marathon Training Tracker

Marathon Training Tracker

A comprehensive 20-week marathon training tracker based on the Boston Athletic Association's Level Three Training Plan. Track your runs, monitor progress, and stay on schedule for race day!

Start Training
UI Playground project

UI Playground

A collection of experimental UI features, animations, and interactive components I'm currently exploring and building. A space for creative coding and front-end fun!

Explore Playground
Pacman AI project

Pacman AI Agents

Developed intelligent agents for Pacman using various search algorithms and reinforcement learning techniques as part of UC Berkeley's CS188 (Intro to AI) course. Explored algorithms like Minimax, Expectimax, and Q-learning.

View Project
Mesh Editor project

3D Mesh Editor

Built a 3D mesh editing application for CS184 (Foundations of Computer Graphics). Implemented features like mesh subdivision (Loop subdivision), triangulation, and transformations. Provided a user interface to interact with and modify 3D models.

View Project
Path Tracer project

PathTracer

Developed a physically-based path tracing renderer capable of generating photorealistic images. Implemented features like global illumination, depth of field, and material simulation (e.g., diffuse, mirror, glass) for CS184.

View Project
Rasterizer project

Software Rasterizer

Created a software rasterizer from scratch for CS184. Implemented fundamental graphics pipeline stages, including triangle rasterization, texture mapping, and antialiasing techniques like supersampling.

View Project

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of something exciting. Feel free to reach out!

Email Me: gwysen@gmail.com