Michael Ross

About Michael Ross

Enthusiastic engineer specializing in the integration of hardware and software systems. Experienced in HDLs, digital logic design, data systems, and machine learning, complemented by excellent interpersonal skills. Global perspective shaped by extensive international experiences. Committed to continuous learning and contributing to dynamic technical environments.

Experience

1. Founder and Lead Ml Engineer

   Ballhawk Sports Analytics

   Jan 2023 — Present · Austin, TX, US

   Designed an end-to-end MLOps stack leveraging Python, OpenCV, YOLOv8/v11, Kubernetes, CircleCI, and Modal serverless GPUs, reducing model iteration cycles from weeks to hours and achieving 95%+ mAP on custom classes.• Automated a 20 TB video data pipeline—including scraping, frame extraction, labeling, training, and validation—enabling nightly ML model retraining and seamless integration with production deployment workflows.• Directed a distributed annotation team delivering labeled images within three months, boosting detection recall by 30% across two bespoke computer vision networks used in live and retrospective game analysis.• Deployed a proprietary pattern recognition engine generating route trees and tendency dashboards, reducing coaches’ film analysis time from 8 hours to 15 minutes per game, resulting in a pending utility patent.• Implemented DevOps best practices such as blue-green deployments, container hardening, and automated CI/CD gates, increasing release frequency threefold while nearly eliminating rollbacks.

Education

• Purdue University

  Master of Science - MS, Computational Engineering

• Purdue University

  Bachelor of Engineering - BE, Computer Engineering