Sarah Chen
Software Engineer 2 at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSarah Chen is a Software Engineer with five years of experience and a CMU Computer Science background, currently advancing observability products at Datadog in New York. She has moved from intern to Software Engineer 2 while contributing to widely used open-source APM Ruby client libraries (56M+ downloads) and shipping integrations like an AWS OpenSearch ddtrace plugin. Her work spans backend services, instrumentation, and developer tooling, with hands-on experience in Ruby on Rails, Docker, Kubernetes/OpenShift, and CI/CD. Sarah has research credentials in ML-driven remote sensing—winning a NASA grant and presenting at NASA Headquarters—and a track record of teaching large CS cohorts, signaling strong communication and mentorship skills. She combines production-facing engineering with a curiosity for how technology shapes society, informed by a minor in Science, Technology, and Society.
5 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Allen High SchoolBachelor's degree Computer Science, Bachelor's degree Computer Science at Carnegie Mellon University
English, French, Chinese
Github Skills (33)
debugging10
hugo10
statsd10
bytebuddy10
distributed-tracing10
java10
apm10
ruby10
profiling10
datadog10
documentation10
functional-testing9
terra9
satellite-imagery9
keras9
Programming languages (10)
Github contributions (5)
spaceml-org/Missing-Pixel-Filler
Jan 2021 - Sep 2021
missing-pixel-filler is a python package that, given images that may contain missing data regions (like satellite imagery with swath gaps), returns these images with the regions filled.
Contributions:59 commits, 20 pushes, 2 comments in 8 months
pythonmachine-learningswath-gapssatellite-imageryremote-sensing
sarahchen6/sarahchen6.github.io
Jun 2021 - Jul 2021
Contributions:1 PR, 53 pushes, 1 branch in 1 month
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