Summary
Alexei Demchouk is a Senior Data Scientist in Minneapolis with 11 years of experience turning messy, multi-source data into actionable models and interactive dashboards. He has deep hands-on expertise in productionizing ML and computer vision pipelines—moving systems from EC2 to Kubernetes/EKS, containerizing apps, and integrating storage solutions like S3 and MongoDB. His background in biomedical engineering and early academic research underpins a rigorous approach to statistical validation and sub-pixel computer vision algorithms, bringing domain-aware modeling to medical device and healthcare clients. Alexei has repeatedly delivered rapid prototypes (from OpenCV facial recognition to neural nets) and production-ready tooling across cloud and on-prem environments. He combines an R&D mindset with practical engineering: experimenting with xgboost/h2o models, then collaborating with devops to monitor and deploy them. Colleagues rely on him to bridge research, software, and operations to drive measurable business impact.
11 years of coding experience
15 years of employment as a software developer
Bachelor Of Science, Biomedical Engineering, Bachelor Of Science, Biomedical Engineering at Rutgers, The State University of New Jersey-New Brunswick
University of Minnesota Twin Cities
Chinese, Greek, English, Russian