Ular Kimsanov

Led the architecture and development of a multi-agent AI system for sports analytics and prediction app.

Engineered a full-stack cybersecurity education platform for high school students, funded by an NSF grant.

Built core banking UI & real-time transfers for 1,000+ users; onboarding tests showed a 40% jump in engagement.

Created automated workflow system extracting structured notes from video content using multi-agent collaboration.

Developed a simple full-stack cryptocurrency tracker using FastAPI (Python) and React (JavaScript), achieving <1 second average data fetch and render time.

Engineered a neural network model achieving 91% accuracy on MNIST dataset, implementing custom data preprocessing pipeline for processing 70,000 images.