Vitalii

AI/ML Engineer with a foundation from 𝗧𝗨𝗗𝗲𝗹𝗳𝘁 and an 𝗲𝗻𝘁𝗿𝗲𝗽𝗿𝗲𝗻𝗲𝘂𝗿𝗶𝗮𝗹 𝗺𝗶𝗻𝗱𝘀𝗲𝘁, I’m driven to improve what’s there and create what’s next. I specialize in developing and deploying end-to-end solutions that turn data into production ready 𝗔𝗜 applications with measurable business value.

My technical journey has led me to master a wide range of tools across the entire data-to-AI pipeline. My expertise includes:
• 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗔𝗜: Background in building and training models using classic frameworks like 𝘀𝗰𝗶𝗸𝗶𝘁-𝗹𝗲𝗮𝗿𝗻 and 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄. In a collaboration for Avato (CRM) , i have developed models for next-interaction recommendations and automatic sales person assigning, increasing lead conversion by close to 80%. Along with expertise in modern AI applications, including 𝗟𝗟𝗠 fundamentals and advanced techniques like 𝗽𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴, 𝗲𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀, and 𝗥𝗔𝗚, which I’ve applied to build 𝗮𝗴𝗲𝗻𝘁-𝗯𝗮𝘀𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 with 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻.
• 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Worked on designing and deploying data pipelines, ensuring clean for data analysis and machine learning. Utilised 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗣𝗮𝗻𝗱𝗮𝘀, and 𝗱𝗯𝘁 (𝗦𝗤𝗟) to transform and migrate data, between sources, having worked with 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, data lakes such as 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 and data warehouses such as 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆, with workflow orchestrated via 𝗔𝗶𝗿𝗳𝗹𝗼𝘄.
• 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Architecting scalable 𝗺𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 with 𝗗𝗼𝗰𝗸𝗲𝗿 and deploying solutions on 𝗰𝗹𝗼𝘂𝗱 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 like Google Cloud Platform (𝗚𝗖𝗣).

I believe that the best technology is built through true partnership, with the engineering efforts directly serving business goals and true expertise is a continuous journey. I’m always open to new challenges and exploring opportunities to apply my knowledge and grow.