Location Kazakhstan, Asia Gender Male
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I'm Grigory Evko, a Machine Learning Engineer with a focus on creating practical solutions. At IPRIT, my work on SOTA model pushed the envelope in time-series prediction accuracy, hitting 64% for short-term price forecasts. I also crafted a trading platform that improved trade execution time by 20% and dramatically cut down model training time
by leveraging AWS cloud efficiencies. In the realm of bioinformatics with the Institute for Gene Biology, I played a key role in boosting data pipeline efficiency by over 500%. My role as an NLP Engineer at Tinkoff Bank saw a 13% improvement in chatbot NLP accuracy and near-perfect model uptime.
Python is my go-to tool, but I'm well-versed in a wide range of technologies. I hold a B.S. in Applied Math and Computer Science from Moscow State University and have co-authored a scientific article in Nature on genetics. Continuously learning, I'm expanding my skills in the evolving areas of DevOps and MLOps.
