Summary
Dmitry Kholodilov is a Machine Learning Engineer with 12 years of experience building and leading data- and ML-intensive engineering teams across telecom, finance, retail and ads at scale. He currently works on Ads Experimentation for Instagram Feed at Meta and previously led development of multi-petabyte analytics and low-latency ML platforms handling risk scoring, recommendations and fraud detection. Technically fluent in Scala, Python, Spark and distributed systems (HDFS, Kafka, Cassandra, Impala), he combines hands-on algorithmic problem solving with engineering management and production deployment experience. Early career work includes architecting high-throughput online analytics and introducing CI/CD and release automation that materially reduced delivery costs. Known for turning ambitious business ideas into reliable technical solutions, he brings a physics-and-math background from MIPT to data-intensive problem solving.
11 years of coding experience
9 years of employment as a software developer
Clojure Programming
Compendium
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English