Farid Yagubbayli is a Co-Founder and CTO with 9 years of experience building production-ready AI systems, currently leading the technical vision at Nucs AI to improve prostate cancer care through cloud-native, regulatory-aware medical platforms. He combines deep ML engineering—PyTorch, model deployment, vector DBs—and full-stack infrastructure expertise with hands-on experience in Kubernetes, Google Cloud, CI/CD and scalable data pipelines. Previously he drove end-to-end model training and gradual deployment systems for next-gen translation models at Lilt, and has a strong track record in medical imaging, HPC acceleration, and AR simulation from roles at TUM and medical startups. Based in Berlin, he blends startup pragmatism with academic rigor (TUM) and a knack for turning complex medical research into deployable software that meets compliance constraints. An under-the-radar strength is his history of building domain-specific tooling (lesion annotation, ultrasound simulation, perfusion acceleration) that bridges clinical workflows and ML production.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Technical University of Munich
Bachelor of Science Computer Engineering, Bachelor of Science Computer Engineering at Marmara University
Contributions:2 releases, 14 commits, 2 PRs in 19 days
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