Ryan Whitty Email & Phone Number

• Working on applying computer-assisted proofs to theoretical computer science, advised by professor Venkatesan Guruswami

• Held weekly discussion sections and office hours for Berkeley’s 700-student upper-division algorithms course, teaching students advanced concepts like dynamic programming, graph theory, and reductions• Worked with professors to design, debug, and grade course content, ensuring fairness and accuracy

• Held office hours, graded exams, and monitored EdStem online forum

• Built a full CI/CD pipeline with TypeScript and AWS CDK which allows frontend developers to release pages to amazon.com with greater reliability and lower latency, saving 10+ developer-weeks annually• Optimized performance and scalability of content deployments by implementing a fast, Java-based data fetching service, using AWS ECS to host a caching agent and Spring MVC to manage data retrieval• Seamlessly integrated new workflows into Amazon’s internal infrastructure, utilizing AWS AppConfig for efficient cloud-based data storage and AWS IAM for secure internal permissions management

• Developed Python software to efficiently process and validate large (10+GB) gene sequencing datasets, significantly enhancing system reliability by diagnosing critical software bugs and hardware defects• Automated and optimized end-to-end algorithm verification processes with Jenkins and Bash scripts, reducing time spent on routine software development tasks like building and testing by up to 80%• Aggregated gene sequencer performance metrics and test suite results into a clean, employee-friendly interface using Gherkin and Cucumber, now referenced internally by many software engineering teams

• Engineered and streamlined data pipelines encompassing patient data entry, storage, and eventual reporting, ultimately being used by hundreds of participants enrolled in studies across the country• Worked with senior scientists to design a statistical analysis plan and wrote scripts for cleaning, analysis, and visualization of data from large-scale clinical studies in Python using NumPy, Pandas, and SciPy• Created interactive data reports for use by patients, clinicians, and researchers in Google Data Studio

B.A., Computer Science, Senior

Activities and Societies: URAP Research Program, CS 170 Course Staff, Upsilon Pi Epsilon, EECS Honors Program, University Chorus, Bowles.

High School Diploma

Activities and Societies: Debate Team, Marching Band, Chess Club, Cross CountryGPA: 4.0