Experience
2021 — Now
San Francisco Bay Area
Artificial Intelligence R&D Team – React/Typescript, NodeJS, Python, HTML5/MaterialUI, GraphQL, AWS
Led the implementation of a customer-facing, full-stack web application designed to demonstrate the R&D Team’s Computer Vision and Natural Language Processing capabilities developed in 2022.
Designed and built highly available, fault-tolerant backend architecture optimized to be consistent for deep learning models of varying response times using Lambda, API Gateway/AppSync, DynamoDB, CloudWatch, SQS, EventBridge, Amplify, and S3.
Presented the application to over 50 civilian, intelligence, and military agencies at conferences, increasing partnerships by 20% over the previous year.
National Practitioner Data Bank Team – Enterprise Java, KnockoutJS, PL/SQL, HTML5/Bootstrap
Implemented design for new Health Care Practitioner Portal system for the National Practitioner Data Bank (NPDB).
Integrated Matomo page interaction metrics and increased secure email click-to-open rate from 21.2% to 64.3% by building aggregations into email infrastructure
Worked with a production-scale PL/SQL database that supported millions of queries yearly.
2019 — 2021
Berkeley, California, United States
Created, enhanced, and maintained a test automation application for the ATF’s various eForm and reporting web systems.
Developed an automated emailable report to communicate regression tests in a readable format to developers, clients, and non-technical QA testers, improved code review efficiency by over 60%.
Mentored newly onboarded team members and actively improved the onboarding process. Communicated automation methodologies to dev team and external clients though presentations and detailed documentation
San Francisco Bay Area
R&D Applications – Python, NumPy, Pandas, Scikit Learn, UiPath
Implemented supervised classification and regression models for analyzing network security data
Education
2017 — 2021
University of California, Berkeley
Bachelor of Science - BS
2017 — 2021