Andrei Pashkov
About Andrei Pashkov
Andrei Pashkov is a Machine Learning Engineer at HeadLight in Seattle, Washington, with four years of experience in the field. He previously worked at Sberbank in various roles, including Software Engineer and Machine Learning Engineer, and holds a Bachelor of Science degree in Computer and Information Systems Security from the National Research Nuclear University MEPhI.
Work at HeadLight
Andrei Pashkov has been employed as a Machine Learning Engineer at HeadLight since 2020. He has contributed to various projects that leverage machine learning technologies to enhance operational efficiency and data analysis. His role involves developing algorithms and models that support the company's objectives in the field of data-driven decision-making. HeadLight is known for its focus on innovative solutions in the transportation and infrastructure sectors.
Previous Experience at Sberbank
Prior to his current role, Andrei Pashkov worked at Sberbank, where he held multiple positions. He began as a Software Engineer in 2017, transitioning to a Software Engineer Intern for one month. He then served as a Software Engineer for 11 months before becoming a Machine Learning Engineer from 2018 to 2020. During his tenure, he contributed to the development of machine learning models, enhancing the bank's capabilities in data analysis and customer service.
Education and Expertise
Andrei Pashkov earned a Bachelor of Science degree in Computer and Information Systems Security/Information Assurance from the National Research Nuclear University MEPhI, completing his studies from 2014 to 2018. His educational background provides a solid foundation in cybersecurity, which complements his skills in machine learning and data science. This combination of expertise allows him to approach problems with a comprehensive understanding of both security and data analysis.
Professional Presentations
Andrei Pashkov delivered a presentation at AI Journey, a prominent AI conference in Russia. This event is recognized for showcasing advancements in artificial intelligence and machine learning. His participation highlights his commitment to sharing knowledge and expertise within the AI community, as well as his engagement with current trends and developments in the field.