Yasin Yakub

Built production generative video and animation products including an offline/real-time hybrid animation architecture and an iOS/web AI video generation app that drove viral adoption (5,000+ downloads in South Korea).

Conducted computer vision and deep learning research on image generation, sketching, line-art animation, vectorization, video segment/pixel tracking, and synthetic data, producing custom models and workflows using Stable Diffusion and ControlNet.

Led end-to-end ML system development for automotive tire information extraction, managing labeling, training detection/segmentation models and deploying an online API service achieving >90% accuracy on multiple datasets.

Conducted independent study in traditional machine learning and competed in Kaggle, achieving top 10% in Rossman Sales and top 11% in Prudential Life competitions.

Delivered web and e-commerce projects (Rails, Magento) and served as Scrum Master for online advertising/search initiatives for clients including Macys.com, EFI, and Clickhook across SF Bay Area and Bangalore.

Managed a team of five for Ad Solutions and led migration of the advertising platform to Ruby on Rails, improving maintainability and deployment cadence.

Served as domain expert for document management on Clarity, led teams up to 10 engineers for collaboration product releases and security architecture initiatives.

Contributed to R&D for the BI application Aperio and led OLAP integrations for enterprise customers.

Developed OLAP client modules and ported EDI/Open components between hardware platforms during tenure across Bangalore and San Ramon.

Bachelor of Engineering in Computer Science completed from 1991 to 1995 focusing on core computer science fundamentals.