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Luke Pitstick

AI/ML research and software development for deep technical problems.

About Me

Luke Pitstick

Hey I'm Luke! I'm a student at CU Boulder studying Computer Science and Political Science, with a focus on building useful AI/ML tools that solve deep technical problems, simulate complex systems, and improve the world through science. I'm currently working at the National Oceanic and Atmospheric Administration as a Junior Data Manager and at WattByte Nexus as an AI/ML Engineer Intern. Outside of work, I am usually outdoors, cooking, exploring restaurants, or trying new coffee places.

Feel free to reach out! I'm always looking for new opportunities.

Download Resume

Projects

A couple of projects I'm proud of. Mostly AI/ML applications for unique problems.

Renewably Wind previewOpen live demo →

Renewably Wind

Machine Learning · 96% model accuracy

1st place BlasterHacks winner. Full-stack wind farm siting platform that ranks candidate locations using an XGBoost model trained on wind, terrain, and grid data.

Python · XGBoost · Polars · React · FastAPI

ViewCode
NYC Rent Price Forecaster previewOpen live demo →

NYC Rent Price Forecaster

Forecasting · Rent forecasting

End-to-end rent forecasting app for NYC with hierarchical time series at the borough and neighborhood level in an interactive dashboard.

Python · React · Forecasting · Vercel

ViewCode
InfraDrone (WIP) preview

InfraDrone (WIP)

Robotics · Road surveys

Autonomous drone and ground-station system for offline road damage surveys with YOLO segmentation and GPS-temporal analysis.

Computer Vision · PyTorch · TensorRT

Code
BrickMe preview

BrickMe

HackCU Winner · 3D model generation

Browser app that turns photos into LEGO-style 3D models you can inspect and share.

Python · FastAPI · Next.js

Code

Experience

AI/ML and data engineering work across startups, governmental organizations, and fast software teams.

  1. May 2026 - Present

    AI/ML Engineer Intern

    WattByte Nexus · Golden, CO

    • Designing digital and simulation systems for modeling power line dynamics to help prevent wildfires.
    • Using AI/ML to model complex physical dynamics, speed up simulations, and reduce costs.
    • Building with AWS and Redis for continuous-loop simulations.
  2. Oct 2025 — Present

    Junior Data Manager

    National Oceanic and Atmospheric Administration · Boulder, CO

    • Managing and cleaning oceanographic datasets for research teams.
    • Building Python pipelines to automate data validation and reporting.
    • Currently processing over 10 TB a week of oceanographic data.
  3. Aug 2025 — Dec 2026

    Data Science Intern

    Ranked Choice Voting for Longmont · Boulder, CO

    • Made charts and visualizations to support targeted campaign efforts.
    • Modeled voting patterns and preferences to inform campaign strategy using fixed-effect linear regression.
  4. Aug 2024 — Jun 2025

    Student Software Developer

    University of Colorado Boulder · Boulder, CO

    • Made tools to support the automatic handling of student data.
    • Used Selenium and C# to automate website operations.
  5. Jul 2024 — Aug 2024

    Software Developer Intern

    B-Secur · Remote

    • First software development internship.
    • Built internal tools to support CI/CD operations.
    • Learned a bit of Java.