• Redesigned Java microservices supporting AWS Identity Center resulting in 20% faster load times for customers and enabling new AWS regions to be built with 50% less developer effort• Created a CAPTCHA strategy for AWS Identity Center with AWS DynamoDB used in ~2 million logins/day• Developed username prefilling features across both Java backend and React frontend for the global launch of AWS Builder ID and AWS CodeWhisper• Updated branding and UI components in React to support… Show more • Redesigned Java microservices supporting AWS Identity Center resulting in 20% faster load times for customers and enabling new AWS regions to be built with 50% less developer effort• Created a CAPTCHA strategy for AWS Identity Center with AWS DynamoDB used in ~2 million logins/day• Developed username prefilling features across both Java backend and React frontend for the global launch of AWS Builder ID and AWS CodeWhisper• Updated branding and UI components in React to support accessibility goals and improve the user experience• Handled escalated customer issues during on-call shifts as a subject-matter expert for AWS IAM products• Mentored and onboarded several new hires, focusing on pair programming and on-call shadowing• Developed threat models and assisted with penetration testing for new features Show less

• Developed ANTLR grammars for parsing SCOAP and Verilog files • Developed Python scripts to read and organize data from Verilog and SCOAP files

• Developed and documented a debugging tool for AWS’s sign-in team using AWS Lambda, API Gateway, React, and Cloudwatch Logs that allowed both developers and customer service representatives to diagnose the root cause of user authentication failures 80% faster than previous solutions.• Added logging statements to existing AWS authentication services written in Java to facilitate recording user interactions in greater detail and with better readability.

• Managed a team of a dozen interns that developed & personally contributed to a single sign on automation platform estimated to save the company 330 engineer hours per year in Python using Flask and Selenium• Created a dashboard for call center team leaders with a React frontend and Python/Flask backend that automatically transcribed and analyzed the sentiment of customer calls using NLTK and Fasttext

• Developed a text mining platform for processing unstructured texts using Python, Pandas, i2E, and Jupyter Notebooks which partially automated clinical trial reviews, completing a formerly days-long task in minutes • Wrote documentation enabling the platform’s reuse in multiple applications, including high performance computing