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.
Contributions:1 release, 13 commits, 6 PRs in 3 years 5 months
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