Glenn Wysen

Hi. I'm Glenn Wysen

Product Engineer at the New York Mets in NYC. I'm on the systems team and work closely with performance technology on player data and analytics projects. My background is in computer science and astrophysics from UC Berkeley.

See my work

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 have many hobbies and interests! 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

New York, NY

Product Engineer, Baseball Systems

Nov 2025 - Present

Baseball Operations Associate, Performance Technology

Jan 2025 - Oct 2025
  • Led a 6-month rebuild of the org performance planner, designing backend database and workout assignment workflows for the front-office internal web portal—used daily by major league and MiLB performance staff and 80+ players during offseason training; org-wide rollout ongoing.
  • Led development of an internal app platform (Okta, GCP CI/CD, BigQuery/PostgreSQL/GCS) enabling analysts and coaches to build and deploy sandboxed tools for front-office and player-development workflows.
  • Partnered with the Head of Major League Strategy to build a side-by-side video analysis tool—in daily use by the Major League Strategy team, saving an estimated 10–20 hours/week vs. manual review.
  • Built automated per-series pitching analysis end-to-end (React, Cloud Functions) with skeleton overlays and biomechanical diff reports for Major League Strategy and advance scouts before every series.
  • Architected org-wide biomechanics skeleton pipeline (GCP, PostgreSQL, Cloud Tasks) powering daily skeleton generation and hitting/pitching report tools from player development through front-office analysis.

AWS - Key Management Service (KMS)

San Francisco, CA

Software Engineer

Sep 2022 - Dec 2023
  • Decoupled KMS's internal cryptographic service into control, data, and log planes, improving cryptographic operation latency and enabling parallel development at scale while maintaining FIPS 140-3 Level 3 certification.
  • Developed internal tooling to automate log analysis for engineers, reducing 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.

Next Insurance

Palo Alto, CA

Software Engineer

Jul 2021 - Jul 2022
  • Enhanced screening logic in Kotlin to prevent automatic policy declines for recent felony records, incorporating fairness review for criteria with disproportionate impact on applicants of color.
  • Developed a Python Slackbot using Selenium for web scraping, saving 50 hours/week for the insurance compliance team.
  • Automated document retrieval and formatting for over 5,000 insurance forms weekly using Python, Selenium, and Pandas.

Air Force Research Lab

Albuquerque, NM

Solar Physics Lab Assistant

May 2018 - Aug 2018
  • Analyzed NASA satellite solar irradiance data using IDL to improve Thermosphere/Ionosphere models for Low Earth Orbit (LEO) satellite safety.

My Projects

Live tools I've built, plus coursework from UC Berkeley in AI and computer graphics.

Field Report

ESPN fantasy league analytics with thematic hubs for scoring, luck, matchups, and trades.

Open

Marathon Training Tracker

20-week BAA training plan tracker with run logging and progress monitoring.

Open

UI Playground

Experimental UI features, animations, and interactive front-end prototypes.

Open

Coursework & experiments

  1. 01 Pacman AI Agents CS188 View
  2. 02 3D Mesh Editor CS184 View
  3. 03 PathTracer CS184 View
  4. 04 Software Rasterizer CS184 View

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

You can also find my resume here