Yevhenii Borysenko

Leveraged cutting-edge AI platforms for rebuilding website design and transferring it into code which leads to reducing drop-off rate by 60% using site analytics Implemented OCR into the translation pipeline to save more than $60000 in technology costs during document translation Managed a team of 2 developers to restructure the project and implement best development practices completely

Enhanced trading strategy by 60% with real-time ML solution with hypothesis testing, which attracted investors totaling more than $400 000 Applied the latest research in time-series model design from scratch and HuggingFace, AI agents and chat-based applications using Python and JS

Generated 30+ advanced data visualizations for large datasets which were sold for a total of more than $300,000 using Dash, inner tools Developed, tested, and deployed NLP-based algorithms for entity labeling and classification Engineered data preprocessing pipelines using Google Cloud Platform, Terraform, and Kubeflow

Designed a full cycle deploying pipeline for a machine learning application focused on translation tasks Fine-tuned existing language models using various transfer learning techniques Managed a team of 4 ML engineers which resulted in the honorable creation of the MVP and the attraction of $150,000 in investments