Summary
Irem Ergun is a Senior Machine Learning Engineer with a decade of experience bridging theoretical research and production ML, currently advancing post-training, instruction-following, and long-context performance for large language models at Cohere. Previously a C.Phil. candidate in theoretical cryptography, she pivoted to applied privacy-preserving and federated learning, co-authoring papers at ICLR SRML and Globecom and mentoring undergraduate researchers. Her background includes deploying ML solutions in industry—from malware detection and NLP data unification to iOS engineering—giving her a rare blend of systems-level engineering and research rigor. Based in Riverside, CA, she’s known internally as a “research fairy”: a practitioner who turns cutting-edge ML research into robust models and tooling that improve real-world LLM behavior.
10 years of coding experience
8 years of employment as a software developer
Nanodegree, Natural Language Processing, Nanodegree, Natural Language Processing at Udacity
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, Riverside
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Bilkent University
High School Diploma, High School Diploma at Ankara Atatürk Lisesi
Spanish, English, Turkish