Stephen Kemmerling is a founder and CTO with 12 years of experience building production AI and infrastructure systems, currently leading Orca to deliver memory-driven MLOps that keep predictive models adaptable, auditable, and safe. His background spans applied ML and engineering leadership at Meta and climate-focused roles at Indigo, where he led data science and modeling for carbon and sustainability programs. Stephen combines deep technical training from Stanford in computational and mathematical engineering with hands-on startup experience, from founding consumer and civic apps to shipping geospatial AI at scale. He focuses on practical solutions to accuracy degradation, misbehavior, and mass customization, emphasizing observability and human-aligned control rather than black-box models. Notably, Orca’s approach replaces frequent retraining with interchangeable memory modules—an uncommon operational pattern that enables dynamic behavior changes without model churn. Based in Boston, he blends product-minded leadership with an engineer’s appreciation for auditable, principled systems.
12 years of coding experience
13 years of employment as a software developer
IPAM
B.Sc. Computer Science (Mathematics minor), B.Sc. Computer Science (Mathematics minor) at Universität des Saarlandes
Master of Science (M.Sc.) Computational and Mathematical Engineering, Master of Science (M.Sc.) Computational and Mathematical Engineering at Stanford University
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