I am a highly driven and inquisitive engineer with a passion for solving tough problems. I have 5+ years of industry experience at industry-leading companies, including 2 years in a technical leadership role at Robinhood.

Wherever I am, I strive to embody a startup mentality. To me, that means seeking out important issues, owning them from end to end, and delivering value to end users regardless of titles or organizational boundaries. At current and previous companies, I have taken this kind of initiative to drive millions of dollars in cost savings, tens of thousands of hours in engineering hours saved, and multiple new product launches.

I am fortunate to have had the opportunity to explore a variety of technical areas in my lifetime, from cryptocurrency to artificial intelligence, cloud infrastructure to developer productivity, mobile apps to websites. I believe this breadth reflects my natural curiosity about technology, as well as my ability to dive both deeply and quickly into new areas.

Feel free to reach out with questions, ideas, or collaboration opportunities!

At a Glance

• 3International Medals
• 2Hackathons Wins
• 1Peer Reviewed Paper

• Robinhood

  San Francisco | 2020

  Led a team of 10 engineers to build a Kubernetes-based development and testing platform utilized daily by the entire company, reducing incidents and saving hundreds of thousands of engineering hours annually. Architected and implemented Kubernetes, Docker, AWS, and Jenkins improvements to handle 10X scale, including >1k simultaneously active developer environments, >30k hourly service creations, >100k DNS names.

• Google

  Seattle | 2019

  Developed and launched a Golang microservice to analyze configuration changes and estimate their impact on production resource availability. Built a data pipeline that aggregated data from the microservice and generated AngularJS web reports for project managers to review.

• Splunk

  San Francisco | 2018

  Designed a Kubernetes service to predictively adjust AWS capacity in response to internal testing demand, saving 1.3 million dollars in the first year. Expanded Splunk's supported platforms to Kubernetes with a custom operator capable of bootstrapping distributed Splunk deployments.

• SelfMade

  New York City | 2018

  Overcame a company-wide blocker by proposing and implementing an auto-scaling, self-replicating EC2 cluster capable of bypassing Instagram’s 200 request/hr API rate limit. Built a triplet convolutional net in Pytorch to identify stylistically similar Instagram users. Developed this model into a content sourcing feature, enabling client managers to automatically find relevant images to repost on customers’ Instagram accounts.

• Teranet

  Toronto | 2017

  Implemented a location-based search results caching feature using the Java Spring framework and PostgreSQL, improving load time by an average of 45%. Designed and implemented a cross-domain cookie authentication system to securely load and cache proprietary images from a partner company. Overhauled CI system by upgrading Jenkins, porting a Windows build process to Linux, and refactoring Selenium tests, saving at least $50,000 in hardware maintenance costs.

• University of Waterloo

  Computer Science (2016)

  4.97/5 GPA, Dean's Honor List (all terms), President's Scholarship of Distinction.

• Bronze Medal
• Season Medal
• Top 1%
• Pitch Finalist

• LocationSFO
• Phone+1 (206) 208 3883
• Websitejeffan.ca
• Emailtheofficialjeffan@gmail.com