I'm a software engineer based in Charlotte, NC with a passion for data engineering, cloud infrastructure (especially AWS), and applied machine learning. I’m also a fan of open-ended side projects—whether it’s simulating robots, building Discord bots, or training neural nets to optimize NBA shot selection.

Predicts which NBA teams will make the playoffs using historical team performance, player stats, and injury data. This supervised learning model leverages multiple datasets to forecast playoff outcomes with solid accuracy.

Applies clustering techniques to identify team archetypes across NBA history. Analyzes team stats, injuries, and shot locations to uncover natural groupings, strategic trends, and outlier seasons.

Uses over 4.2 million shots from 2004–2024 to train deep learning models that optimize NBA shot selection. Combines CNNs for spatial recognition, player embeddings, and sequence models to incorporate real-time game context.

Languages:

ML/AI:

Cloud & Infra:

DevOps:

• 💼 Website: lukelittle.com
• 🦋 Bluesky: @lukelittle.com