• Designed and built out platform to automatically ingest data at scale and surface it to customers

• Worked to scale API performance with a focus on sql bottlenecks

• Responsible for building and maintaining UI for connector management

• Hired and led platform engineering team of 4-5 engineers, including an intern, which owned the internal ORM, API, connectors, and activity stream

• Helped design and build out engineering hiring process

• First backend engineer hired

• #1 product engineer in terms of PRs

• Used Typescript, Node, Airflow, Spark, and Python

• Built out lab and patient management apps to scale testing from 0 to 200k tests per day (and later, enable vaccination)

• Interfaced with customers to build and support data ingestion and exports

• Helped design engineering hiring process

• Built out new techinical support engineering team to handle requests from the customer success team that required engineering help; these were a significant time sink for product engineers and freed the team up to work on high priority features instead of running scripts

• One of first 3 engineers hired

• Used Flask, Prefect, Typescript, and React

• Developed a pipeline to process and extract data from legal documents at scale using AWS step functions

• Built out ETL pipelines to enable data-driven decision making using Fivetran and Looker

• Designed and built a document management system to allow lawyers to collaborate on and version legal documents natively in Microsoft Word

• Rolled out Sorbet, a static typechecker, to bring order to the chaos of a legacy Rails codebase

• Promoted good engineering practises thorugh the use of design docs and testing

• Mentored junior engineers

• Worked with Ruby, Rails, Python, React, and Typescript

• Worked on software to proactively flag platform abuse on Facebook and Instagram

• Contributed to modern and legacy software used by content reviewers (SRT, CRT)

• Led a team of 5 engineers

• Devised and implemented strategies to reduce amount of manual content review necessary

• Worked on improving efficiency and cohesion of engineering team by standardising practises such as design docs and RCA reviews

• Was #1 Haskell contributor at Facebook for several quarters

• Primarily used Haskell and Hack

• Built an application to rate landlords and rental properties in New York City using statistical and publicly available datasets

• Won grant from Knight New Challenge

• Used Ruby on Rails