Summary
Andrew Larimer is a hybrid entrepreneur-turned-machine learning engineer and curriculum designer with a decade of experience applying computer vision, NLP, and edge computing to real-world problems. Currently leading Gen AI and ML curriculum for Google's Partner Learning Services, he couples hands-on model development with instructional design and mentorship. His background spans building mobile vision platforms for infrastructure inspection, architecting hardware-to-cloud pipelines, and deploying models to edge devices using Docker, Kubernetes, and Kubeflow. Earlier work includes founding and scaling a media company (sold successfully), Unity game development, and drone-based video pipelines—skills that inform his strengths in video/audio processing and animation. He is skilled across Python, deep learning architectures (CNNs, transformers, RNNs), cloud platforms (AWS/GCP), and messaging systems, and he brings practical DevOps experience to production ML. Unusually, his profile blends theatrical and media production roots with rigorous data science training from UC Berkeley, enabling creative, user-focused ML solutions.
10 years of coding experience
11 years of employment as a software developer
Master of Information & Data Science, Master of Information & Data Science at UC Berkeley School of Information
B.F.A. w/ Honors Drama/Theatre Arts and Stagecraft, B.F.A. w/ Honors Drama/Theatre Arts and Stagecraft at New York University
New Orleans Center for the Creative Arts
Spanish, English