Ly Nguyen is a pragmatic software engineer with 11 years of experience building reliable, product-focused systems across cloud, messaging, and ML infrastructure. Currently at Cash App after leadership roles at Twilio and engineering work at AWS, she combines hands-on implementation with tech-leading blueprints that guide teams from research to pilot and beta launches. She has deep experience in distributed systems, CI/CD, and data activation stacks (Java, Go, Kafka, DynamoDB, Docker) and has driven integrations like Google Business Messages and Facebook messaging into production. An active contributor to MXNet’s CI/CD improvements, she has practical ML infra experience that informed Amazon Rekognition efforts and an Apache incubator migration. Beyond code, 10+ years of volunteering shaped her collaborative, intentional leadership style that values radical candor, measurable tradeoffs, and fostering growth. She positions herself as a multiplier who fills team gaps, encourages experts to lead, and prioritizes building meaningful products with quality and humility.
11 years of coding experience
10 years of employment as a software developer
BS, Computer Science & Software Engineering, Magna Cum Laude, BS, Computer Science & Software Engineering, Magna Cum Laude at Seattle University
Deep Learning Foundation Nanodegree, Artificial Intelligence, Deep Learning Foundation Nanodegree, Artificial Intelligence at Udacity
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:2 releases, 28 commits, 76 PRs in 7 months
Contributions summary:Ly primarily focused on building and maintaining the Continuous Integration and Continuous Deployment (CI/CD) infrastructure for the MXNet project. Their contributions include the creation of various test environments and scripts, especially for Amazon Linux. The user also improved the existing CI/CD pipeline, including adding support for running tests within Docker containers, and automating the installation of dependencies. Furthermore, the user introduced Valgrind checks for CPU tests and implemented tests for pip installations and installation documentation.
Contributions:14 releases, 40 PRs, 1 push in 1 month
javaincubatingmxnetapache
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