Summary
Max Grossenbacher is an AI solutions engineer and technical leader with 9 years of experience building production ML systems, agent architectures, and data products that drive measurable business outcomes. He has co-founded and exited an eCommerce startup and later scaled a data/AI product suite to ~$850K ARR, delivering tangible ROI like 50% fewer out-of-stocks and 7% revenue lift for retail partners. At Rowan he engineered LLM-powered agents and human-in-the-loop feedback loops that compressed multi-week M&A workflows to days, and he builds pipeline-to-inference systems across GCP, AWS, and Snowflake. Max blends hands-on expertise in Python, prompt engineering, embeddings, and cloud infra with a knack for translating frontier research into deployable features for deal, sales, and marketing teams. He’s equally comfortable leading cross-functional GTM and onboarding efforts as he is coding agent function-calling and pgvector-backed retrieval systems. Based in Denver, he brings an uncommon mix of founder grit, product-focused ML engineering, and a musician’s creativity to problem solving.
9 years of coding experience
8 years of employment as a software developer
Data Science Immersive Data Science, Data Science Immersive Data Science at Galvanize - Denver, Platte
Data Science Fundamentals: Intro to Python Data Science, Data Science Fundamentals: Intro to Python Data Science at Galvanize - Austin, 2nd Street District
Bachelor of Arts (B.A.) cum laude Biochemistry Major & Music Minor, Bachelor of Arts (B.A.) cum laude Biochemistry Major & Music Minor at Colorado College
High School, High School at St. Stephen's Episcopal School
English, Spanish, python, sql, react, git, pyspark, hadoop