Summary
Alexey Mamaev is a software engineer and lecturer with 10 years of experience building high-throughput, data-intensive systems in C++, Python, and Go. He has designed and scaled advertising infrastructure handling over 100 billion entities and realtime updates at >10k/sec, and built Kafka-to-ClickHouse pipelines and storage solutions serving multi-terabyte workloads. At Yandex he combined systems engineering with ML-informed product work—preparing a CatBoost model that increased ad-driven site visits by up to 20%—and still interviews and mentors mid/junior engineers. As a lecturer at the Higher School of Economics he teaches software engineering, OS/architecture, and algorithms, bridging academic rigor with production practice. Based in Belgrade, he pairs strong applied-math credentials (MS/BTech from Bauman MSTU) with hands-on experience in ClickHouse, S3/YTsaurus, Kafka, and cloud-native tooling. An understated strength is his knack for designing flexible parsers and integration services that simplify moderation and attribution across diverse platforms.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Applied Mathematics, 4.9 / 5, Master of Science - MS, Applied Mathematics, 4.9 / 5 at Bauman Moscow State Technical University