Alexander Kinchak

• Implemented efficient data extraction solutions using BeautifulSoup and Selenium to gather and process data from diverse web sources. • Designed and developed RESTful endpoints using FastAPI, contributing to improved microservices architecture. • Built and maintained scalable data pipelines by authoring Apache Airflow DAGs. • Actively participated in code reviews, promoting adherence to best practices (PEP 8, clean code principles), improving overall codebase maintainability.

• Implemented data feed transformations using SparkSQL, processing structured and semi-structured data from multiple sources. • Managed and monitored Apache Airflow DAGs for scheduling, dependency management, and execution of data pipelines, ensuring issues were proactively identified. • Performed ongoing data validation, debugging, and troubleshooting of data quality issues and pipeline failures. • Engineered production-ready API endpoints using FastAPI, implementing RESTful principles.

Virtual Fitting Room, enabling users to digitally try on clothing. • Created modules to detect body, hand, facial, and foot keypoints from single images, forming the foundation for pose-aware garment alignment. • Built segmentation pipelines to generate high-precision masks for body parts (arms, fingers, head, etc.). • Designed and applied geometric warping algorithms to deform clothing images according to detected body shape, pose, and proportions, ensuring realistic visual fit.