Summary
Shane Austrie is a seasoned machine learning engineer and mentor with 14 years of experience building ML-driven products and AdTech systems across startups and enterprise teams. He blends hands-on ML model development, real-time bidding and recommendation systems, and backend growth engineering—most recently contributing to LLM orchestration and growth platforms at Google and DataRobot. As CTO and technical lead in multiple startups, he has helped raise funding and translate creator-economy signals into monetizable products for DTC and sports creators. An active mentor with Techstars, Accelerate VI and other programs, he helps founders apply ML to improve user engagement and ad performance. Notably, his work at Reddit and Tapjoy delivered measurable revenue and ad relevance gains, demonstrating a rare mix of product intuition and production-grade ML engineering.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Computer Science (Artificial Intelligence and Human-Computer Interaction), Bachelor of Science - BS Computer Science (Artificial Intelligence and Human-Computer Interaction) at Georgia Institute of Technology
Bachelor of Applied Science - BASc Computer Science (Machine Learning and Data Science), Bachelor of Applied Science - BASc Computer Science (Machine Learning and Data Science) at Dominican University of California
Pre-Master's Certificate Program Marketing Analytics, Pre-Master's Certificate Program Marketing Analytics at Cornell University
Applied Data Science, Applied Data Science at Make School
English