# Alexander Katz > Software Engineer at Fragment Location: New York City Metropolitan Area, United States Profile: https://flows.cv/alexanderkatz Software engineer at Robinhood, where we're on a mission to democratize finance for all. More generally, my primary focus is on expanding access to fields with historic barriers to entry, such as education, travel, and -- of course -- finance πŸ™‚ ## Work Experience ### Software Engineer @ Fragment Jan 2022 – Present ### Senior Software Engineer @ Robinhood Jan 2022 – Jan 2022 ### Software Engineer @ Robinhood Jan 2019 – Jan 2022 Software Engineer, Clearing Team β€’ Led 30+ engineers across 8+ teams to develop the ACATS system, allowing customers to transfer brokerage accounts in and out of Robinhood, increasing company ARR by 9%. β€’ Drove & contributed to various projects scaling core clearing infrastructure >12x across 2020-21, including emergency scaling efforts in January 2021 following the Gamestop market volatility. β€’ Helped grow the clearing organization from 12 -> 40+ engineers by serving as interim TL for a team of 6 engineers, formally mentoring several interns & new grads, and designing Robinhood's default coding interview problem. ### Teaching Assistant @ Massachussetts Institute of Technology Jan 2018 – Jan 2019 Curriculum development; holding recitations and office hours; designing and evaluating quizzes and other coursework, etc. for MIT's Introduction to Algorithms (6.006) ### Software Engineering Intern @ Airbnb Jan 2018 – Jan 2018 | San Francisco Developed Airbnb's first deploy pipelining system, reducing the risk of canary bypasses, version skew, etc. and paving the path to CI/CD. Adopted by several services including those with critical uptime requirements. ### Lab Assistant @ Massachusetts Institute of Technology Jan 2017 – Jan 2017 Assisted students with and developed lab sessions for MIT's Introduction to Machine Learning (6.036). ### SDE intern, Alexa Machine Learning @ Amazon Lab126 Jan 2017 – Jan 2017 | Sunnyvale, CA β€’ Developed and implemented machine learning-based systems deployed to the Alexa Prize competition, and more generally to the Alexa platform. β€’ Assisted participating teams in improving average socialbot quality by over 25% (by end-user ratings); reduced inappropriate socialbot responses by 98%; improved data pipeline integrity by 10%. ## Education ### Bachelor’s Degree in Mathematics and Computer Science (dual) Massachusetts Institute of Technology Jan 2015 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/alexkatzdev --- Source: https://flows.cv/alexanderkatz JSON Resume: https://flows.cv/alexanderkatz/resume.json Last updated: 2026-03-20