Alexander Kalashnikov is a data science leader with 8 years of experience building and scaling ML systems across e-commerce, fintech, healthcare, and research institutions. Currently a Cluster Lead at Wildberries, he directs data strategy and leads multiple DS teams to deploy fraud-detection models at scale, having previously driven production NLP/vision pipelines and MLOps from Domclick to Dbrain (YC W20). His background blends deep learning research—uncertainty estimation in medical image segmentation—with practical wins like state-of-the-art Russian handwritten text recognition and GPU-accelerated pipelines that improved throughput by 8x. A committed educator, he co-created a computer vision course at HSE and scores above-department average in student evaluations, reflecting a talent for translating research into teachable, applied solutions. He combines strong engineering skills (Python, PyTorch, MLOps, big data) with a track record of operationalizing models in high-stakes environments and mentoring teams toward measurable business impact.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Higher School of Economics
Bachelor's degree, Applied Mathematics and Informatics, Bachelor's degree, Applied Mathematics and Informatics at Finance University under the Government of the Russian Federation
Contributions:1 release, 13 commits, 6 PRs in 3 years 5 months
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Alexander Kalashnikov - Cluster Lead at Wildberries