Ni Jiliang
AI Algorithm Expert at 阿里巴巴集团
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNi Jiliang is an AI algorithm expert with nine years of hands-on experience building and optimizing AI software across edge, cloud, and embedded systems, currently working at Alibaba in New York. He holds an MS in Computer Science (Machine Learning) from Columbia and a BS from UC Irvine, and has deep experience porting and optimizing models and operators for diverse hardware targets including NPU IPs, Andesight RVV, FPGA, and AI cloud SoCs. His work spans full-stack AI toolchains—pre/post-processing, inference, evaluation and validation—and he contributed to EVAS’s ANNA toolchain and to Montage’s VSR project where he rewrote critical kernels for performance. An active backend contributor to notable open-source projects like Alibaba’s SmartEngine, he blends production-grade system engineering with algorithmic tuning to squeeze performance from constrained platforms. Notably, he has a track record of driving E2E regression tests and hardware profiling to identify bottlenecks and deliver robust deployments in cross-disciplinary teams.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science(Machine Learning), Master of Science - MS Computer Science(Machine Learning) at Columbia UniversityUniversity of California, Irvine
Chinese, English
Github Skills (7)
javas10
parallel-processing10
bpmn10
multithreading10
java10
concurrency10
xml-parsing9
Programming languages (2)
Github contributions (5)
alibaba/SmartEngine
Aug 2020 - Jan 2021
SmartEngine is a lightweight business orchestration engine.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 10 PRs, 7 comments in 4 months
Contributions summary:Ni primarily focused on enhancing the SmartEngine's core functionalities. Their contributions include fixing thread pool issues in the parallel gateway, adding wait timeout configurations for parallel gateway, and supporting the parsing of comment elements. The user also implemented features for process definition properties and artifacts, along with introducing race mode execution for parallel gateway.
orchestrationorchestration-enginedmnbusiness-processjava
yfcchilly/SmartEngine
Aug 2020 - Jan 2021
SmartEngine is a lightweight business orchestration engine.
Contributions:27 pushes, 3 branches in 5 months
data-analyticsorchestrationorchestration-enginejavabusiness-orchestration
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