I led several backend projects, some involving core business features including: 1) a class recommendation system that scored classes based on how well they paired with user's current physical state, their goals, their owned equipment, and their workout history 2) a real-time fatigue modeling system that modeled individual muscle groups as well as their cardiac fatigueI developed multiple internal tools used by our employees that went beyond the typical CRUD operation to showing the correct contextual information and calculations needed to do their jobs efficiently.I made important backend optimizations to reduce p99 queries that were taking 10+ seconds down to less than 500ms. I also introduced developer friendly request level caching for use cases that could not utilize dataloader patterns easily.

I led our team and developed multiple customer facing features within the flagship Studio product many of which had very complicated dependencies to other features. Because of those dependencies I worked very closely with PMs and designers to anticipate and address UX issues before starting implementations, reducing wasted development effort.I led the transformation of the React state system of the "in class" experience for the Studio product by first identifying the numerous short comings of the legacy system, evaluating 3rd party state libraries and finally implementing our own pub/sub version since we could not find one that met all our criteria. The new system brought many advantages such as separation of concerns, reusability, dependency tracking, and execution order invariance, that was completely lacking previously.I developed a novel approach to using Redux middleware to execute side-effect code with an API similar to reducers that other developers were familiar with.I led the adoption of GraphQL on the Studio product using Relay and then switching to Apollo.

I both led and contributed to several projects including a lead generating on-site component to convert visitors into users, a push token management service that handles over 300 million users, integration with Salesforce Marketing Cloud to send a million emails in a single day, and redesigning/implementing the UI/UX of our in-house marketing automation tool that has 100+ daily active employees and sends out up to 20 million messages per day. My responsibilities were all encompassing including UI mockups with product managers and designers, engineering/architectural design, performance testing & optimization, and implementation and testing. The notable technologies I used were React, Redux, Typescript/Javascript, Java, RxJava, Python, Ruby on Rails, Docker, Kubernetes, AWS, Figma.

I am involved in nearly all aspects of software development at the company. From frontend, backend, test, CI/CD infrastructure, I have designed/built/maintained significant portions in all these areas. I use a multitude of Google Cloud Platform products such as AppEngine, BigQuery, DataStore, CloudStorage, etc to serve both near real-time and historical analytical data to the frontend. I designed and built a system to query 100s of millions of mobile devices daily without incurring any noticeable increase in costs. I created a Behavior Driven Development (BDD) test framework in Python using Lettuce to easily express complicated integration tests for validating asynchronous event based metrics. I have rearchitected the data flow pipeline of our most data intensive page so that even our largest customers could have highly interactive reports in <30s when they previously couldn't even load the page. To adopt "configuration as source" methodologies in our build infrastructure, I converted our build slaves into Docker containers and integrated it into our CI system on Jenkins. I architected and helped build a flow chart like editor with automatic node placement/layout on the frontend using React. Despite being highly reactive to a multitude of states and UX, the architecture allows row risk code modification due to the aggressive separation of concerns between components.

I currently work on the Next Generation Workbench, which is IBM's new platform for the data scientist. Specifically, I develop the ground level end to end architecture, essentially filling in the gaps left by the high level architects with implementation ready designs that match business needs with our teams need for agility. In doing so, I evaluate, prototype, influence, and coach the team on the technologies and methodologies to use. I am a big proponent of Lean and Continuous Delivery and serve as the DevOps "Champion" for the squad in addition to implementing the majority of the team's CD pipeline.Previously I have worked on the IBM Cloud, Social Media Analytics, and Real-time Monitoring products.

I worked on the Real Time Monitoring product, which is a streaming database with on the fly cubing capabilities. I architected and helped develop a framework to allow custom adapters to feed data into the product. I also lead a small team of developers in India.

I designed and implemented a mapping feature into our product which allows customers to visualize their data onto Google Maps.

I architected and developed a new metadata framework that drastically simplified the process of adding and persisting application metadata.

I developed a prototype distribution center monitoring framework to help quickly detect when errors in the fulfillment process occur.