Yuance Li is a Technical Manager with 11 years’ experience leading Big Data and deep learning engineering at Qihoo 360 in Beijing’s Chaoyang District. He blends hands-on backend and ML engineering—contributing notable Spark integration work to the well-known Apache MXNet project—with team leadership and production delivery. His contributions to Scala utilities for image processing and iterable data pipelines show a practical focus on data preparation that accelerates model training and deployment. Comfortable spanning optimizer updates in R packages to small but impactful bug fixes, he brings both breadth across languages and depth in ML infrastructure. Colleagues rely on him to translate research-grade models into scalable, maintainable pipelines for large-scale applications.
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 & ML Engineer
Contributions:14 commits, 5 PRs, 1 comment in 12 days
Contributions summary:Yuance primarily contributed to the Spark integration within the MXNet deep learning framework. Their work involved creating and modifying Scala-based utilities, specifically for image processing (Img2Vector) and iterable data handling (RepIterator), suggesting a focus on data preparation and model input pipelines. Further contributions include updates to the optimizer module in the R package. The user also addressed minor bug fixes in the code.
Contributions:14 pushes, 1 branch in 1 year 11 months
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.