Leonid Gremyachikh is a Senior Data Scientist and Machine Learning Engineer with eight years of experience and over six years deploying production ML solutions, primarily in fintech and computer vision domains. He combines applied research expertise from his ongoing PhD at the Higher School of Economics with hands-on engineering roles at FBS Inc., Adalisk, and LAMBDA HSE to bridge novel algorithms and scalable production systems. Leonid’s background in applied mathematics and information science informs a rigorous approach to model validation, risk-aware deployment, and feature engineering for financial products. Comfortable moving between research and product teams, he has repeatedly translated experimental prototypes into robust, business-facing pipelines. Based in Russia, he brings both academic depth and practical delivery experience, often tackling the less obvious challenges of data quality, interpretability, and regulatory constraints in ML systems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer and Information Sciences, Doctor of Philosophy - PhD, Computer and Information Sciences at Высшая Школа Экономики
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