Kirill Goltsman is a Senior Data Scientist with 11 years of experience building and deploying AI/ML solutions, currently driving projects at EPAM Systems from Spain. He combines deep expertise in classical ML, deep learning (including diffusion models), NLP fine-tuning of LLMs and prompt engineering, with hands-on experience in Solidity and DeFi protocol development. Kirill has delivered end-to-end systems—ETL pipelines from Graph nodes, model training and hyperparameter tuning, and cloud deployments—turning blockchain and on-chain signals into actionable product features. His background as a technical content creator and editor means he communicates complex models clearly and has published practical guides and tutorials for practitioners. Uncommonly for an ML engineer, he pairs advanced modeling with smart-contract implementation and protocol deployment, bridging research, product and web3 engineering.
10 years of coding experience
5 years of employment as a software developer
PhD, Political Science, PhD, Political Science at Donetsk National Univeristy
Master's degree, Finance, General, Master's degree, Finance, General at Donetsk State University of Economics and Trade
Automatically scale hardware and easily run stateful applications using Kubernetes.
Contributions:9 pushes in 1 year 1 month
scalek8skuberneteshardwarestateful
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