Summary
Denis Savenkov is a Member of Technical Staff in Seattle with eight years of experience applying NLP, ML and systems engineering to real-world products, currently focusing on text understanding and generative-RAG workflows. He has a solid research-to-production track record from multi-year roles at Meta—spanning conversational NLU, recommendation model training optimization, and LLM fine-tuning—to his current work at Perceptron AI. Trained with a PhD in Computer Science and advanced ML education from Yandex School, Denis pairs deep academic rigor with hands-on firmware and hardware experience as an MCU/FPGA developer. His early career at Yandex and internships at Google sharpened his skills in information extraction, coreference, and learning-to-rank, making him adept at bridging research ideas and scalable engineering. Colleagues value him for moving complex NLP models into production while keeping an eye on low-level performance and systems constraints.
8 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Emory University
Master of Science - MS data science, Master of Science - MS data science at Tula State University
Master of Science (MS) data analysis machine learning algorithms and data structures, Master of Science (MS) data analysis machine learning algorithms and data structures at Yandex School of Data Analysis
Russian, English