Summary
Current Software developer at Amazon Web Services with 3 years experience in cloud computing including fraud detection tools and support services. Interests in virtual reality, AI/machine learning, NLP, and software development.
Education
M.S. Computer and Information Science
Sept 2018 - May 2020
B.S. Computer Science
2014 - 2017
- Graduated Cum Laude
- Dean’s List: Fall 2016 and Spring 2017
Professional Experience
Software Development Engineer
June 2020 - Current
Amazon Web Services, Seattle, WA
- Design, development, and testing of cloud-based fraud detection infrastructure software used continuously throughout AWS
- Global code deployment processes/methods over 24 regions across the world using Brazil, BATS, & AWS Cloudformation tools
- Scalable and efficient design and implementation of regionalized services and APIs with large underlying data sets (>1TB) using Intellij and AWS CDK tools
- Metric tracking such as p99 latency to monitor and manage high performing operation in production using the AWS Cloudwatch tool
Teaching Assistant
Sept 2019 - May 2020
University of Pennsylvania, Philadelphia, PA
- Lead recitation lectures and group exercises covering current DataBase Technologies such as MongoDB, MySQL, and Neo4J
Research Assistant
April 2019 - March 2020
University of Pennsylvania, Philadelphia, PA
- Developed web based applications demonstrating NLP transliteration research. Employed NodeJS and Java Spring.
Software Engineer
June 2017 - June 2018
- Designed, developed, built and tested large-scale Java framework-based inventory management applications for the healthcare industry.