Vitalii Andrieiev
About Vitalii Andrieiev
Vitalii Andrieiev is a Technical Lead with extensive experience in software development and data management. He has a strong background in search engine integration, cloud technologies, and distributed file systems, and has worked for various companies in Ukraine over the past decade.
Current Role at Io-Tahoe
Vitalii Andrieiev serves as a Technical Lead at Io-Tahoe, a position he has held since 2014. His tenure at the company spans over 10 years, during which he has contributed to various projects and initiatives. His role involves overseeing technical development and ensuring the integration of advanced technologies in data management and analysis.
Professional Experience
Vitalii Andrieiev has a diverse professional background in software development and system administration. He has worked at several companies, including Men's Wearhouse, Hostopia, and HARMAN International, primarily in Java development roles. His experience includes positions at Provectus IT, Inc, Lohika, and Luxoft, where he focused on Java and Java EE development. Additionally, he has held system administrator roles at GeeksForLess.
Education and Academic Background
Vitalii Andrieiev studied at the Russian International Academy of Tourism, where he earned a Bachelor's degree in Management. His academic journey spanned from 2002 to 2006, providing him with foundational knowledge in management principles that complement his technical expertise.
Technical Skills and Expertise
Vitalii Andrieiev possesses advanced skills in various technical areas, including search engine integration with ElasticSearch, Lucene, and Solr. He has expertise in cloud technologies, particularly AWS, and has experience with distributed file systems such as AWS S3 and Gluster. His proficiency extends to NoSQL databases like Redis and MongoDB, as well as SQL databases including Oracle and PostgreSQL. He also utilizes Docker for application containerization.
Interests in Machine Learning and AI
Vitalii Andrieiev engages in hobbies related to Pytorch and Reinforcement Learning, reflecting his strong interest in machine learning and artificial intelligence technologies. This interest complements his technical skills and enhances his capabilities in developing innovative solutions in the tech industry.