Built a full stack website surveying 50 questions to gather food taste preference data. Set up server using NodeJS, and created frontend UI using HTML, CSS, JS. Created a connection pool with PostgreSQL to pull survey questions and push answers using browser cookies. Utilized AWS EC2 service to launch server. Engineered an API crawler using Node JS to gather and clean over 1 million data with JavaScript and MongoDB to train a flutter based meal recommendation AI mobile application.

Tested US government health care websites from front-end testing, database validation, API testing and RPA testing with Amazon WorkSpaces and Microsoft SQL. Documented/evaluated test results and defects with Test Rail and coordinated with the development and business teams to troubleshoot issues. Created test cases and reports by reviewing the functional requirements on Jira as a part of the SDLC process

Gathered and cleaned baseball relevant data with technologies such as HitTrax, Blast, and 4D motion to analyze player specific metrics for baseball using R and Excel. Coded graphs and charts in R tracking kinematic sequences to feature the optimal swing from collected data