Valiantsin Malashkou
About Valiantsin Malashkou
Valiantsin Malashkou is a Senior Data Engineer at AI Foundation, currently developing LLM-powered search systems and enhancing machine learning platforms. He has a background in software engineering and data science, with experience at Flo Health Inc. and Itransition Group.
Work at Flo Health
Valiantsin Malashkou currently serves as a Senior Data Engineer at Flo Health Inc., a position he has held since 2023 in Vilniaus, Lithuania. His role involves the development of an LLM-powered search system that includes summarization capabilities and conversational agents. Prior to this, he worked for two years at Flo Health Inc. as a Senior Data Engineer in the HealthDS/Predictions team from 2021 to 2023. During his tenure, he contributed significantly to the redesign of the existing ML Platform to accommodate Generative AI use cases, focusing on open-ended conversational AI agents.
Education and Expertise
Valiantsin Malashkou holds a Bachelor's degree in Electronic Computing Facilities from the Belarusian State University of Informatics and Radioelectronics, which he completed from 2013 to 2017. He further pursued his education at the same institution, earning a Master's degree in Software Engineering from 2019 to 2021. His academic background supports his expertise in developing Big Data pipelines, specializing in the integration of API services and data modeling. Over the last five years, he has transitioned into Data Science with a focus on machine learning.
Background
Before joining Flo Health, Valiantsin Malashkou worked at Itransition Group, where he held the position of Senior Software Engineer from 2016 to 2021. His career at Itransition Group began as a Software Developer, a role he occupied for three months in 2015. His experience at Itransition Group provided him with a solid foundation in software engineering and development, which he has built upon in his subsequent roles in data engineering and machine learning.
Achievements
Valiantsin Malashkou has established organization-wide guidelines for the feature design of machine learning models. This initiative reflects his commitment to enhancing the quality and consistency of machine learning practices within his organization. His work in developing advanced search systems and redesigning ML platforms demonstrates his ability to innovate and improve existing technologies in the field of data engineering and artificial intelligence.