Александр Евдокимов

Develop analytics for service-request and financial data, including ingestion, transformation, validation, and cost allocation. Design SQL transformations and analytical models in PostgreSQL and MariaDB, and build ingestion workflows with Python, Pandas, SQLAlchemy, and FastAPI.

Develop an AI system for automated glioma segmentation from brain MRI scans. Designed and evaluated 5+ model iterations across preprocessing approaches, training strategies, U-Net architectures, and Vision Transformer methods.

Co-built a commercial analytics platform for competitive MCSR Ranked matches, helping players evaluate match statistics and performance. Designed the data architecture and processing flow from parser servers to PostgreSQL and ClickHouse.

Led development of a platform for students, faculty, and academic program directors to collaboratively create and manage university curricula. Coordinated product requirements, technical development, and team execution from domain research through prototype design.

Led a project applying deep-learning segmentation to identify buildings in satellite imagery.

Developed an AI prototype for monitoring worker activity in camera footage during the Digital Breakthrough hackathon.

Led analytics, backend development, and project coordination for the redesign of a public utility-outage information service.

Grade: 5.0/5.0

Pursuing a B.S. in IT Product Development and Management with a GPA of 5.0/5.0, expected to graduate in 2028.