Igor Shalyminov is a machine learning research engineer with 13 years of experience specializing in conversational AI, large language models, and dialog systems. He holds a PhD from Heriot-Watt University on data-efficient dialogue methods and has applied that research across industry teams at Amazon, AWS, Microsoft, Yandex and startups. Igor has led applied-science work on tool-calling LLM agents, controlled conversational theme detection, and novel faithfulness and summarization evaluation methods that contributed to multiple ACL/NAACL/DSTC papers. Now at Scale AI he focuses on LLM agents R&D for enterprise applications, bridging research rigor with production requirements. His background in search, ASR, and low-data dialogue techniques gives him an uncommon ability to translate evaluation-driven research into robust conversational products. Based in Sunnyvale, he combines deep academic training with practical engineering across both big-tech and fast-moving AI labs.
13 years of coding experience
14 years of employment as a software developer
Heriot-Watt University Edinburgh Campus
Specialist, Computing machinery, systems, and network, Specialist, Computing machinery, systems, and network at Moscow State University of Instrument Engineering and Computer Science
Master's degree, Internet Data Analysis, Master's degree, Internet Data Analysis at Yandex School of Data Analysis
Neural Response Ranker for Alana, Heriot-Watt University's Alexa Prize Socialbot
Contributions:34 commits, 30 pushes, 1 branch in 8 months
nlpprizedialog-systemspythonresponse-selection
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