Sherry Kisilu

Continuing full-time on the Windows Reliability Data Engineering team, building on prior telemetry analysis and AI-assisted workflow visualization work. Engineer migration and reliability tooling for Windows data workflows, including validating Lens-to-Azure Data Factory migrations at scale and developing C#-based, AI-assisted tooling for workflow discovery, pipeline generation, and validation.

Collaborated with the Windows Reliability Data Engineering team to track and analyze telemetry data from laptops worldwide, supporting identification and resolution of reliability issues. Developed a workflow visualization tool incorporating AI-based script analysis to map and visualize workflows and data pipelines from Azure Data Factory.

Contributed to building intelligent features in document management systems by integrating AI technologies. Helped develop smart search and automation tools that improved user interaction with digital documents using natural language and machine learning techniques.

Contributed to software projects at a digitization company, developing solutions for document management systems. Assisted in building user-friendly web interfaces using React and Tailwind CSS.

Comprehensive study of algorithms, data structures, and database systems, with coursework in operating systems, distributed systems, and networking.

Full-stack development program focusing on JavaScript, Ruby on Rails, Python, and API development, including front-end frameworks and back-end technologies.

Grade: A (83/84 points)

Achieved a Mean Grade A (83/84 points), ranking in the top 1% nationwide.