Leading technical development of internal data pipeline management application.

Refactored Angular code base and Docker containers, improving both performance and maintainability.Created and maintained API client packages providing streamlined access to microservices to analysts.Integrated gRPC API with google drive providing an improved electronic lab notebook and reducing untracked data.Monitored experiment dataset for errors and managed correction of data, reducing error detection by 55%.Collaborated with scientists and analysts to determine desired features and data integrity requirements of software tools. Collaborated with team, both presenting and providing comments, during code and design reviews. Tested and Deployed software updates using GCP's Kubernetes Engine. Practiced test driven development, maintaining test suites with full coverage of application use cases.

Architect, develop and deploy RESTful APIs using Python’s Flaskframework and Postgres SQL to aggregate sports betting market datafrom over 40 sports books.Architect, develop and deploy web admin panel using Angular thatdisplays betting market data, resulting in average 0.5% increase to winpercentages.Plan, scope, and schedule implementation of features upon request ofclient. Deploying an Initial stable build to production in under threemonths.

Designed and Implemented the backend for a Contacts application,empowering users to store customer info and integrating with the rest ofthe Voice over IP services provided by the product.Built web interface for Contacts web application in the Angularframework, to build a stable minimum viable product for product team.Utilized Terraform to modify an Amazon API Gateway to provide secureand configurable access to API.Integrated third party software services such as Send Grid and PostAffiliate Pro into existing code base. which empowered marketing teamsto complete simple tasks, without engineering assistance.Optimized existing SQL queries and implemented Redis Caching toimprove API response times by up to 50%.

Utilized Jira product suite to complete tasks in the C++ codebase helpingto reduce the backlog by 9%.Created an AWS Lambda function that accessed API, to create an AmazonAlexa demo for product management.