Susan Su

About Susan Su

Seeking a full-time senior software engineer position to drive impactful and innovative projects. With over 7 years of professional experience in software engineering, my expertise includes hands-on experience with AWS and building scalable and secure microservices utilizing Java, Python and Scala. The highlight of my career so far has been leading a team to develop an Amazon internal ML Ops platform, called ML Pigeon, enhancing the efficiency of ML engineers in developing, managing and deploying ML models.

Experience

1. Software Development Engineer Ii

   Amazon

   Jul 2019 — Present · Seattle, WA, US

   Designed and implemented key functionalities for an internal ML orchestration workflow platform, enabling ML engineers to automate SageMaker model retraining, deployment, and inference using Python scripts, significantly reducing ML Ops time by 90%. Over 450+ teams across 150+ VP orgs onboarded our platform- Led the design and development of a full-stack ML model sharing system from scratch on top of the MLworkflow platform, facilitating secure model sharing and consumption with version control for users- Developed RESTful APIs and DynamoDB tables for storing and managing workflow metadata, integral to the workflow platform and website- Designed and implemented secure event notification throttling for the ML orchestration workflow platform. Organized and migrated event notifications across 150+ AWS accounts- Conducted office hours twice a week and maintained a support channel for 1k+ members, providing ML Ops guidance and consultation to enhance team capabilities-

Education

• Shanghai Jiao Tong University

  Bachelor's Degree, Electrical and Computer Engineering

  2011 — 2015

• University of Michigan - Rackham Graduate School

  Master’s Degree, Electrical Engineering

  2015 — 2016

• University of Michigan

  B.S.E, Electrical Engineering

  2013 — 2015