Michael E. Marin — Resume

Michael E. Marin

ML Engineer

Dallas, TX  |  (469) 980-0069  |  miked24977@gmail.com  |  linkedin.com/in/xmike04  |  github.com/xmike04


Summary

ML engineer focused on production AI systems — real-time interactive visualization, LLM-powered products, and the evaluation discipline that keeps them honest. Led a 5-person team building a NASA PACE satellite-data exhibit shown at the Kennedy Center in Washington, D.C., and shipped SIMLYFE, an LLM-driven life simulator with 350+ automated test assertions. Currently pursuing an M.S. in Artificial Intelligence (ML focus) at the University of North Texas while building agentic AI products at Mr. Cooper.


Experience

Product Analyst Intern, AI/ML team

May 2025 – Present

Mr. Cooper Group — Dallas, TX

  • Selected for a competitive 10-week internship with the Product Management AI/ML team.
  • Contributing to the development and support of internal Agentic AI products to help automate customer service.
  • Responsibilities include story writing, user testing, model evaluation, and cross-functional collaboration with design, engineering, and business units.
  • Exposure to tools such as Azure DevOps, MySQL, Microsoft Copilot, Google Cloud Services (GCS), and LucidChart in support of digital transformation and intelligent automation efforts.

Projects

Wave: From Space to Ocean (NASA PACE Capstone)

Jan 2024 – May 2025

NASA PACE · University of Maryland IMD · University of North Texas

  • Led a team of 5 building an interactive, gesture-driven exhibit visualizing live data from NASA's PACE satellite.
  • Built full-stack applications integrating cloud data pipelines for large-scale scientific computations, with React/TypeScript visualization layers.
  • Designed a Setup Wizard using ImGui and OpenCV that cut exhibit setup and calibration time by roughly 70%.
  • Implemented scalable APIs and GraphQL endpoints for cross-platform data integration.
  • Premiered at the Kennedy Center in Washington, D.C. (March 2025), with a planned national museum tour.

NASA PACE — WAVE exhibit page: pace.oceansciences.org/wave_space_to_ocean.htmUMD coverage of the Kennedy Center premiere: cmns.umd.edu/news-events/news/wave-exhibit-kennedy-center-pace-nasa

SIMLYFE: LLM-Driven Life Simulator

2025 – 2026

Personal Project

  • Built and shipped a mobile-first, browser-based life simulation game where players age a character year by year through careers, relationships, finances, and procedurally generated life events.
  • Integrated GPT-4o-mini as a life-event generation engine behind a server-side LLM proxy, keeping API keys off the client entirely.
  • Engineered deterministic game systems (economy, career ladders, relationship dynamics) that blend with LLM-generated narrative events.
  • Wrote 350+ automated test assertions across the game engine, LLM integration, and market modules using Vitest.
  • Live at simlyfe.vercel.app — React 19, Vite, Firebase cloud saves, Supabase Edge Functions.

Live Demo: simlyfe.vercel.appGitHub Repository: github.com/xmike04/SIMLYFE


Education

The University of North Texas (UNT)

Expected May 2027

MS, Artificial Intelligence (Machine Learning Focus)

  • Applied Artificial Intelligence — search, heuristics, problem solving
  • Advanced Machine Learning — supervised/unsupervised learning, deep learning fundamentals

The University of North Texas (UNT)

May 2025

BS, Computer Science Engineering — GPA: 3.25 (4.0 Scale)


Skills

Programming Languages
Python, TypeScript / JavaScript, C++, SQL
AI/ML & Data Science
PyTorch, TensorFlow, OpenCV, NLP, RAG Pipelines, BM25 & Cross-encoder Reranking, LLM Evaluation, Scikit-learn
Cloud & DevOps
AWS, Google Cloud (Vertex AI, BigQuery), Docker, Kubernetes, GitHub Actions, CI/CD pipelines, Linux
Backend
FastAPI, Node.js, PostgreSQL, pgvector, Redis, Flask, Firebase, RESTful APIs
Frontend
React, Next.js, Tailwind CSS, Data Visualization

Certifications

  • Intro to Web Development with HTML, CSS, & Bootstrap
  • Web Development with JavaScript & APIs

Leadership & Interests

  • Treasurer of UNT AI Club (2023–Present) — led AI/ML workshops and hackathon participation.