Chengyuan Lin
SAP Private Cloud Production Services Manager
Beijing, Beijing, China
Summary
👤
Senior🎓
Top SchoolChengyuan Lin is an experienced SAP and IT operations leader with over 12 years in system administration, DBA, SAP Basis and manufacturing systems, now managing SAP Private Cloud production services from Beijing. He has driven large-scale S/4HANA implementations, migrations and runbooks across global landscapes—designing architecture, CMDB and capacity management for multi-country rollouts and resolving hundreds of production issues. Certified in ITIL v4 and PMP with hands-on skills in SAP HANA, AIX/Linux, Azure and Python, he blends operational rigor with automation and cross-timezone virtual team leadership. Beyond enterprise SAP, he contributes to machine learning engineering work in open-source RecBole by adding a neighborhood-aware recommendation model, highlighting his appetite for applied research and integration.
8 years of coding experience
7 years of employment as a software developer
Master's Degree, Computational Science, Master's Degree, Computational Science at University of EssexBachelor's Degree, Electric Automatization, Bachelor's Degree, Electric Automatization at 北京城市学院
Github Skills (9)
pytorch10
machine-learning10
deeplearning-ai10
recommendation-system10
deep-learning10
python9
mask-rcnn7
faster-rcnn7
mlops6
Programming languages (3)
Github contributions (5)
RUCAIBox/RecBole
Feb 2021 - Mar 2021
A unified, comprehensive and efficient recommendation library
Role in this project:
ML Engineer
ML EngineerContributions:25 commits, 8 PRs in 22 days
Contributions summary:Chengyuan primarily contributed to the implementation of a new model, NNCF, within the RecBole library, which focuses on recommendation systems. The commits show the addition of the NNCF model, including its structure and neighborhood information processing methods. Furthermore, the user integrated the model into the testing and example runs of the library, indicating efforts towards usability and integration testing.
pytorchrecommenderdeep-learningcollaborative-filteringsequential-recommendation
cyLi-Tiger/Single-Cycle-CPU-10
May 2020 - Jun 2022
Contributions:6 commits, 5 pushes, 1 branch in 2 years 1 month
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