Eugene Koran
Senior Machine Learning Engineer at Capital One
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolEugene Koran is a Senior Machine Learning Engineer with nine years of experience building production-grade AI systems, currently leading ML initiatives at Capital One from the San Francisco Bay Area. He has a strong track record in financial technology—architecting real-time fraud scoring pipelines, identity verification systems that have validated over 20M identities, and anomaly detectors that cut investigative workload threefold. Eugene blends hands-on expertise with technical leadership, pioneering MLOps practices, LLM adoption and contrastive learning on transactional data to drive measurable business outcomes. Comfortable across Python, C++, PyTorch, cloud platforms and orchestration tools, he designs scalable microservices and CI/CD pipelines that sustain millions of accounts under strict regulatory constraints. He also brings an unusual background in competitive strategy and probabilistic decision-making from years as an independent entrepreneur, which informs his pragmatic, data-driven approach to risk and model evaluation. Actively mentoring teams, he focuses on translating cutting-edge research—especially generative and LLM techniques—into reliable, compliant products.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree with Distinction Finance and Financial Management Services, Bachelor's degree with Distinction Finance and Financial Management Services at Belarusian State Economic University
Russian, English
Github Skills (11)
machine-learning10
deep-learning10
gpu10
python10
numpy10
autograd9
tensorflow9
gpu-acceleration9
neural-network9
tensor9
acceleration9
Programming languages (2)
Github contributions (5)
eugenekoran/pytorch
Apr 2019 - Jun 2019
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:23 pushes, 4 branches in 1 month
pythongpu-accelerationdeep-learninggpuacceleration
eugenekoran/film-project
Oct 2017 - Dec 2017
Contributions:13 commits, 10 pushes, 1 branch in 1 month
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