Collaborated closely with cross functional teams and stakeholders to define project scope, timelines, and deliverables, ensuring alignment with organizational goals and objectives.

• 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 managed CI/CD pipelines for React applications

• Worked with a small team of developers in an agile environment. Took ownership of a variety of company products and features. Led in the development of new features from architecture and design to implementation and release.

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

Automatic User Penalty Systems: created schedulers on the backend to track user statuses and UI for both Web (AngularJS) and Mobile(React Native) platforms to alert users of any penalties and payment extension features

• 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.

• Created custom metric software in Python for services to be displayed on Prometheus and Grafana

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

• Sourced and worked alongside a team of frontend and backend developers to deliver an Electron/React Js desktop application from start to finish to be used at partnered nationwide Medical Groups to conduct EEG experiments and collect the resulting data.

• 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