alicia
Pittsburgh, Pennsylvania, United States
Summary
👤
SeniorTing Luo is a Senior Software Engineer at Meta with eight years of experience building large-scale ML and AI integrity infrastructure. She has hands-on systems and C++ expertise demonstrated by a Meta internship where she rebuilt FBOSS CLI components with coroutines for real-time streaming and achieved a ~7x query speedup. Her early contributions to Apache MXNet at AWS added NumPy-compatible ops in both C++ and Python bindings, signaling strong low-level ML framework skills. Ting pairs industrial experience across cloud, video AI, and trading systems with a CMU master's in Computational Data Science, bringing rigorous quantitative training to production engineering. Based in Pittsburgh, she blends deep systems work with practical product impact and a track record of making complex ML tooling more performant and debuggable. An under-the-radar strength is her repeated focus on portability and cross-platform interfaces, from network switches to deep-learning arrays.
8 years of coding experience
Github Skills (11)
tensorrt10
data-manipulation10
mxnet10
c-language10
tensor10
tensorflow10
cprogramming-language10
operation10
python10
numpy10
deep-learning9
Programming languages (5)
Github contributions (5)
apache/mxnet
Oct 2019 - May 2020
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:
Back-end Developer
Back-end DeveloperContributions:23 commits, 35 PRs, 44 comments in 7 months
Contributions summary:Alicia primarily contributed to the implementation of NumPy-compatible operations within the MXNet framework. Their work focused on defining and implementing mathematical functions like `max`, `min`, `prod`, and `nan_to_num`, as well as operations related to boolean indexing. The contributions included both C++ implementations and Python bindings, expanding the functionality of the deep learning library's numerical computation capabilities. This effort involved modifying existing code and adding new functionalities to support array manipulations and numerical operations.
pythonschedulerdataflowmutationdata-science
Alicia1529/incubator-mxnet
Oct 2019 - May 2020
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Contributions:151 pushes, 44 branches in 7 months
pythonschedulerfeature-storedataflowmutation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.