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 – PresentMr. 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 2025NASA 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 – 2026Personal 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 2027MS, 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 2025BS, 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.