Renat Alimbekov is an AI research engineer with 13 years of experience building and deploying machine learning solutions across MedTech, AdTech and EduTech, currently focusing on face and medical image analysis. He has led large teams and delivered production biometrics, passive liveness, OCR and geolocation systems that replaced vendor stacks and scaled to millions of sessions. A hands-on practitioner in Python, PyTorch, OpenCV and the ML Python stack, he also builds tabular models, RAG-based assistants and data pipelines while improving model accuracy and CI/CD practices. Renat is a Kaggle Competitions Expert with top-percent finishes in multiple medical imaging challenges and writes practical DS/ML tutorials, mentoring the next generation of practitioners. He combines research-grade model development with product-minded engineering and a history of operationalizing AI in regulated and high-throughput environments.
Contributions:14 commits, 20 pushes, 1 branch in 1 year 11 months
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