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.

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.

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

Implemented supervised classification and regression models for analyzing network security data