Hongwei Liang
Staff Machine Learning Engineer at Apple
United States
Summary
👤
Senior🎓
Top SchoolHongwei Liang is a Staff Machine Learning Engineer with eight years of experience translating ML research into production at scale, currently driving ML and LLM initiatives at Apple after leading high-impact applied science efforts at Microsoft. He specializes in end-to-end framework design—spanning methodology, architecture, training/inference, privacy-preserving deployment, and slice analysis—and has shepherded M365 Copilot quality and user-understanding systems from prototype to org-wide production adoption. Known as a cross-org technical leader, he coordinated delivery across engineering, product, legal, and compliance, built onboarding for 40+ contributors, mentored junior scientists, and helped generate patents and conference submissions. His academic roots in graph mining, sequential recommendation, and social media behavior (PhD, Simon Fraser) fuel a pragmatic research-to-production mindset that balances precision, recall, and coverage in real-world LLM systems. An understated but valuable trait: he blends deep research credibility with hands-on product instincts that make complex evaluation signals actionable for leadership and product teams.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc) Computer Software Engineering, Bachelor of Science (BSc) Computer Software Engineering at Harbin Institute of TechnologyDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Simon Fraser University
English, Chinese
Github Skills (11)
scrape9
twitter8
twint8
twitter-api7
scraper6
api6
python6
kibana5
elasticsearch5
datasets4
machine-learning1
Programming languages (2)
Github contributions (5)
LazyAir/SIGIR18
May 2018 - Aug 2018
The datasets and code for the SIGIR18 paper
Contributions:21 commits, 1 PR, 18 pushes in 3 months
datasetsdataset
LazyAir/DKF
Jul 2018 - Aug 2018
Contributions:15 commits, 11 pushes, 1 branch in 1 month
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