Anthony Huang
Staff Software Engineer at Ramp
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAnthony Huang is a Staff Software Engineer based in New York with a decade of experience building infrastructure and distributed systems, currently shaping Ramp’s platform reliability and streaming architectures. He progressed rapidly at Ramp from Senior Software Engineer to Staff after focusing on Kafka and event-driven systems, bringing prior infrastructure experience from multiple roles at Affirm. Anthony pairs production-grade engineering with hands-on contributions to machine-learning tooling—he has committed fixes and dataset integrations for few-shot object detection repositories, showing a taste for ML-adjacent work beyond core infra. Known for improving developer workflows (pre-commit hooks, IO library integrations) and pragmatic system design, he combines low-level operational know-how with an eye for developer productivity.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of MichiganShanghai American School
English, Japanese, Spanish
Github Skills (7)
pytorch10
machine-learning10
python10
file-access9
fileio9
file-processing9
file-handling9
Programming languages (7)
Github contributions (5)
ucbdrive/few-shot-object-detection
Oct 2021 - Oct 2021
Implementations of few-shot object detection benchmarks
Role in this project:
ML Engineer
ML EngineerContributions:11 commits, 1 comment in 17 days
Contributions summary:Anthony made several commits focused on fixing and improving the codebase, particularly related to core functionalities. They addressed specific issues and improved code style by incorporating pre-commit hooks. Furthermore, the user was involved in updating datasets, including preparing and adjusting the data for few-shot object detection tasks. They also updated and integrated various libraries for file input/output.
object-detectionfew-shot-object-detectionfew-shot-learningicml-2020
Anthuang/scalabel
Nov 2021 - Jun 2023
Scalabel: A versatile web-based visual data annotation tool
Contributions:2 PRs, 60 pushes, 11 branches in 1 year 7 months
data-annotationweb-basedvisual-dataannotation-toolversatile
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