• Designed and implemented a system to control the number of successfully delivered marketing emails using Hack and Dataswarm (data pipeline tool). Improved email reach rate from 70% to 90%.

• Drove implementation of standardized API for Page level experimentation on web client using Hack and React resulting in an efficiency gain of 8.7 engineering years saved.

• Improved web client performance by refactoring datafetching to follow a render-as-you-fetch pattern using React, Relay and Hack. Resulted in 20% reduction in page load latency.

• Implemented integration of in-house marketing software with standardized experimentation platform using Hack and React, which reduced marketing experiment readout time from 7 days to 1 day.

• Led implementation of new UI for business messaging client using React in collaboration with product and design stakeholders. Used A/B testing to guide iteration and selection of the best UI variant.

• Built tool that enabled marketing configuration updates via user friendly UI instead of requiring manual edits to configuration files using React, Relay and Hack.

• Tech lead for development of new platform feature that enables users to initiate asynchronous visits with their doctor using Node.js, MongoDB, HL7 CDA, and Direct Messaging

• Provided >1m users with coronavirus advice based on their specific risk factors by building advice engine service using Node.js and MongoDB

• Built microservice that generates health summary notes from patient symptoms using TypeScript, NestJS, and MongoDB and deployed to Kubernetes cluster using Travis CI CI/CD process

• Functioned as go-to person for debugging issues that span multiple microservices with mastery of complete code base and tech stack

• Scaled up Kubernetes cluster and optimized services to handle discrete spikes of >100x the normal number of users

• Refactored several legacy microservices and added unit tests to improve reliability and code quality using Node.js and Jest

• Implemented administrative tool for performing CRUD operations on database collections using Node.js, MongoDB, Bootstrap, and jQuery. Used daily for content development by GYANT’s product team

• Implemented web page that displays output of administrative tool test results in a user friendly format using HTML, jQuery, Bootstrap, Node.js, and Express.js

• Wrote Python script for identifying unused database documents to enable garbage collection using Python and MongoDB

• Responsible for verifying product quality and maintaining laboratory equipment