Maojia Sheng
Architect Engineer For Recommendation Systems
Hangzhou City, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolMaojia Sheng is an architect-level engineer with 12 years of experience designing high-performance recommendation systems and server-side infrastructure, currently shaping recall and ranking platforms for ByteDance products like TikTok and Douyin. He combines deep systems expertise—Linux kernel and network programming—with practical service engineering in Python, Go, C/C++, and cloud-native microservices to optimize latency and throughput at scale. His background spans game server development at NetEase, low-level OS work during internships at Tencent and VMware, and end-to-end web services using Flask/Django, giving him a rare full-stack-to-kernel perspective. Skilled in recall algorithms, performance tuning, big data and ML pipelines, he excels at bridging algorithmic research and production architecture. Colleagues rely on him for pragmatic system design and clear technical communication across cross-functional teams.
12 years of coding experience
3 years of employment as a software developer
Master of Engineering (MEng), Informatino and communication engineering, Master of Engineering (MEng), Informatino and communication engineering at Tsinghua University
Chinese, Chinese
Github Skills (49)
python9
machine-learning9
tensorflow9
deep-learning9
azerothcore9
online-game8
neural-network8
data-science8
minetest7
ml7
deep-neural-networks7
lua7
malloc7
ptrace6
game-development6
Programming languages (4)
Github contributions (5)
markwhen/gogetxueqiu
Apr 2016 - Nov 2017
Contributions:11 commits, 19 pushes, 1 branch in 1 year 7 months
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