Summary
Tayfun T is a Sr. Staff Machine Learning Engineer based in the San Francisco Bay Area with a PhD in Computer Science and over a decade of experience building end-to-end ML systems from data collection and feature engineering to model deployment and monitoring. He blends research rigor with production-first engineering, having led ML efforts at ServiceNow, AppZen, and Amazon and co-founded a tech startup where he wore both CTO and hands-on engineering hats. Comfortable across Python, Java, Scala/Spark, and a wide range of databases and cloud tooling, he emphasizes clean, modular, test-driven code and reliable CI/CD using Jenkins, Docker, Kubernetes and observability stacks like Datadog and Grafana. His background spans academia (postdoc and lecturing) and industry, giving him a knack for translating complex algorithms into scalable, auditable services. Notably, he pairs deep ML expertise with full-stack familiarity—including .NET and React—making him effective at bridging data science, engineering, and product teams.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Houston
Turkish, English