Summary
Alexei Matusevski is a pragmatic Data Scientist with 8+ years of experience who blends deep software engineering roots with research-driven analytics to build production-ready data platforms. He has led end-to-end analytics and ETL architecture—introducing Kafka, Airflow, ClickHouse and hybrid PostgreSQL storage—to enable near real-time insights and operational dashboards that saved teams hours weekly. His background includes GPU-accelerated bioinformatics at scale (100k+ protein structures on 8×A100 with 1000x speedups) and practical ML/NLP projects from scraped web corpora to traffic quality classification using the OpenAI API. Comfortable in regulated environments and fast-moving startups, he pairs hands-on coding (Python, C#, SQL, NodeJS) with strong product focus and team mentorship. Based in New York, he is equally at home optimizing backend latency to recover conversions as he is crafting anomaly detection and active-learning workflows for large-scale labeling.
8 years of coding experience
17 years of employment as a software developer
Data Science Immersive, Data Science Immersive at Galvanize Inc
Bachelor Computer Engineer, Bachelor Computer Engineer at INACTIVE1805844365-Universitatea Tehnică a Moldovei
English, Russian