Vitalii Mochkodan
About Vitalii Mochkodan
Vitalii Mochkodan is a Generative AI Engineer with a background in software testing and development. He has worked for notable companies such as Gamesys, EPAM Systems, and Ciklum, focusing on optimizing large language models and ensuring their accuracy and reliability.
Work at Ciklum
Vitalii Mochkodan currently serves as a Generative AI Engineer at Ciklum, a position he has held since 2023. In this role, he designs and implements test strategies to ensure the accuracy and reliability of large language models. Prior to this, he worked as a QA Lead at Ciklum from 2021 to 2023, where he contributed to quality assurance processes and team leadership.
Experience at EPAM Systems
Vitalii Mochkodan has extensive experience at EPAM Systems, where he held multiple roles. He worked as a Software Testing Engineer from 2017 to 2018 and later transitioned to a Software Development Engineer in Test from 2019 to 2021. He also served briefly as a Senior Software Development Engineer Test in 2021 for two months. His roles involved developing and implementing testing strategies to enhance software quality.
Previous Role at Gamesys
Before joining EPAM Systems, Vitalii Mochkodan worked as a QA Automation Engineer at Gamesys from 2018 to 2019. During his time in this position, he focused on automating testing processes to improve software reliability and efficiency in the Vinnytsia Region of Ukraine.
Education and Expertise
Vitalii Mochkodan studied Computer Science at Vinnytsia National Technical University, where he earned a Bachelor's degree from 2015 to 2019. His educational background has equipped him with the necessary skills to excel in software development and testing, particularly in the field of generative AI.
Research and Development in AI
In his current role as a Generative AI Engineer, Vitalii conducts research and development to optimize large language models for a leading digital and print publisher in the United States. He fine-tunes these models based on real-world performance and feedback, contributing to advancements in AI technology.