Rahul D'Costa Email & Phone Number

Atlanta, GA, US

Atlanta, Georgia, United States

• Developed core user interface features for the flagship self-checkout product using React TypeScript.
• Refactored processes to improve the application for speed, usability, performance, scalability, and maintainability.
• Conducted code reviews to ensure that all quality and change control standards were met.
• Developed and supported test automation frameworks, execution environments, and reporting tools.Selected Achievements:
• Established a Prometheus metrics server to… Show more
• Established a Prometheus metrics server to optimize UI performance and track key metrics like inactivity duration and transaction timers.

Ann Arbor, Michigan, United States

• Established an end-to-end Django and Angular system to log user actions on the HeartSteps mobile application; reduced debugging time for developers and researchers.
• Partnered with validation engineers, application engineers, and marketing personnel to understand the specifics of the product, its requirements, and its intended usage to develop and execute in-depth validation test.
• Complete product testing, including functional, performance, stress, and use case interoperability… Show more
• Complete product testing, including functional, performance, stress, and use case interoperability testing.Selected Achievements:
• Developed a feature to track and update users daily step goals using REST API calls; enabled researchers to utilize approximately 13,200 potential data points for future user behavior and target setting.
• Orchestrated a comprehensive overhaul of the primary participants module in the Django database, optimized project structure and enhanced efficiency; reduced data retrieval time by 30%. Show less

Ann Arbor, MI

Responsible for assisting faculty, staff, and students with their usage of all technology provided in Campus Computing Sites facilities and services as well as personal device support.

Pune Area, India

• Developed an iOS app in Swift using a machine learning (ML) image classification model with Apple’s Core ML framework. Trained the app on 2,400+ images to detect unique shoe models with 94%+ accuracy.
• Integrated Firebase for backend management, including Crashlytics for crash reports and a real-time database to store image classification model predictions. Ensured consistency across iOS and Android, integrated new.
• Integrated Firebase for backend management, including Crashlytics for crash reports and a real-time database to store image classification model predictions. Ensured consistency across iOS and Android, integrated new.

Bachelor Of Engineering - Be, Computer Science, Cum Laude

Activities and Societies: Kappa Theta Pi, Michigan International Students Society, Michigan Economics Society, Michigan Hackers Selected.

Icse, International Baccalaureate Diploma, Computer Science

Activities and Societies: School orchestra, MUN Club, Football, ITE (Integration of Technology into Education) Council, Senior Editor for.