Vlad (Volodymyr) Pavlov 🇺🇦
About Vlad (Volodymyr) Pavlov 🇺🇦
Vlad (Volodymyr) Pavlov is a Senior Director of AI and Software Engineering at PMG, with extensive experience in software development and leadership roles across various companies. He has worked at notable organizations such as Microsoft, Intel, and rollApp, and has expertise in multiple programming languages and technologies.
Current Role at PMG
Vlad Pavlov serves as the Senior Director of AI & Software Engineering at PMG, a position he has held since 2022. In this role, he leads initiatives focused on artificial intelligence and software development, contributing to the company's technological advancements. His leadership is instrumental in driving innovation within the organization, particularly in the development of AI-powered solutions.
Previous Experience at Microsoft
Prior to his current role, Vlad Pavlov worked at Microsoft as the DPE Director from 2005 to 2007 in Moscow, Russia. During his tenure, he was involved in various projects that enhanced the company's software engineering practices. His experience at Microsoft provided him with a strong foundation in technology and leadership.
Leadership at rollApp
Vlad Pavlov held the position of CEO and Chief Software Architect at rollApp from 2010 to 2017 in Palo Alto, California. Under his leadership, the company focused on developing cloud-based applications. He played a key role in shaping the company's technology strategy and product development during this period.
Educational Background
Vlad Pavlov has a solid educational background in computer science and business. He earned a Master of Science (MS) in Computer Science from Dnipropetrovs'kij Nacional'nij Universitet from 1991 to 1996. Additionally, he has pursued executive education at prestigious institutions such as the University of California, Berkeley, Haas School of Business, and The Wharton School, further enhancing his expertise in business and technology.
Technical Expertise
Vlad Pavlov possesses extensive expertise in a variety of technologies, including AWS, GCP, Python, Node.js, JavaScript, PHP, GoLang, and generative AI tools like OpenAI and Llama. His technical knowledge supports his leadership in AI and software engineering projects, enabling him to guide teams effectively in developing innovative solutions.