Led the gathering and analysis of requirements from various teams, including data science, bacterial strain and characterizations teams to understand needs and translate them into technical specifications for custom React dashboard solutions.

Implemented a variety of React dashboard solutions to track experiment progress and health, store and share data between scientists, and boost overall lab productivity.

Developed and implemented Flask-based web services to support custom applications

Implemented and architected a variety of user and admin features which include and not limited to:

Multi User Accounts: expanded Express endpoints, MongoDB schemas, and user UI to accommodate for multi user accounts allowing to seamlessly switch and manage different brand accounts all through one master user account

Updated ElasticSearch queries to allow for a greater variety of user search filters and allow admins to promote specific athletes on user searches

Created a new testing framework for email services using Rabbitmq and Sendgrid. Reduced end to end email testing from two days worth of work down to seconds.

Configured, automated, and deployed Ansible for configuration management of new and existing infrastructure

Created a pip installable data SDK and data pipeline in Python to allow researchers varying clearance levels to medical data in order to organize, manipulate, retrieve and upload sensitive client and company metadata.

Expanded the functionality of client Flask API to allow for user login verification via Google OAuth, Data Upload/Download to S3 and DynamoDB