Summary
Mert Gerdan is a Senior Applied ML Engineer based in San Francisco with 8 years of experience building production ML systems and developer-facing infrastructure. After an early engineering internship at Amazon and a CS degree from the University of Michigan, he joined Tavus where he moved from integrating research models and scaling infra to architecting conversational video agents and agentic workflow systems. He blends hands-on engineering with research curiosity—working on perception, RAG, and scheduling for agent workflows—while favoring pragmatic, reproducible pipelines. Mert has taught data structures to large undergraduate cohorts, surfacing an ability to explain complex concepts clearly and mentor peers. Colleagues describe him as a “professional impostor” in the best way: skeptical, detail-oriented, and oddly precise about preferring ALL CAPS for certain prompts.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science and Engineering - BSE, Computer Science, Bachelor of Science and Engineering - BSE, Computer Science at University of Michigan