Planned and ran dozens of growth experiments to help users share their know-how.Coolest work I did here was related to Chrome Extensions, ask me about it if you're interested :)

* Designed and built a modern stack using GraphQL, React, Neo4j, Apollo, and AWS.* Worked with dozens of integrations for the site, including Calendly, Twitch, Stripe, MailChimp, etc. to help speed up development and product iteration.* Conducted user feedback meetings and provided consultations to users to drive product development.

* Replaced components of our architecture for our data ingestion system, saving $1M/yr * Directly improved team processes, resulting in a 66% reduction of code review wait times, better unit testing standards, etc.* Converted team services to use AWS CDK, drastically reducing maintenance efforts for the team

Local Auto - Web Scraping Car Listings and Data Quality Analysis* Maneuvered through complex Cloud Dataflow pipelines which scraped the web for every car listing across the 10 million most popular websites* Designed and developed systems for tracking changes to car listings over time to provide insights, such as “what time of the month do most cars go on sale” or “how often is this car getting test drives”* Created tools to aggregate, group and process information about cars, which was crucial for identifying and resolving critical data quality issues, such as 30% of cars having incorrect prices Lyra - ML Solutions to Digital Signal Processing* Developed a pipeline to export TensorFlow model weights, which included import/export validation, which allowed us to rebuild models in C++ to improve execution efficiency* Dissected and reimplemented complex sound compression models written in Python into C++, making use of algorithmic techniques (quantization, parallelization, etc.) to optimize exported models