Qingdi Zhang
Technical Lead at Meituan
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolQingdi Zhang is a technical lead and founding engineer with 12 years of experience building high-performance back-end systems, GPU-accelerated search, and AI-driven products across startups and Amazon. He has led cross-functional teams from prototype to production—shipping a SOC2-compliant, SQL-based vector database SaaS and an RAG chatbot, and delivering a biometric device with industry-leading 250ms matching at 50k scale. Proficient in Python, Java, C++, and CUDA, he specializes in optimizing computational parallelism and system throughput (e.g., a 50x GPU search speedup) while maintaining product and hardware integration. Qingdi blends hands-on engineering with product leadership, having scaled teams to 40 and guided end-to-end hardware/software development and certification. Now based in Beijing and currently a Technical Lead at Meituan, he pairs deep systems expertise with pragmatic delivery and a track record of awards for technical and team excellence. An uncommon strength is his cross-domain fluency—from optical and hardware choices to quantized ML models—enabling tightly integrated, production-ready AI systems.
12 years of coding experience
3 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Shanghai Jiao Tong UniversityMaster's degree Computer Systems Networking and Telecommunications, Master's degree Computer Systems Networking and Telecommunications at University of Pennsylvania
English, Chinese
Stackoverflow
31reputation
242reached
0answers
1question
Github Skills (200)
mysql-database10
spark-sql10
instagram10
windows10
pdftex10
data-management10
office36510
ubuntu10
telegram10
activator10
kdeconnect10
pty10
embedded10
xterm10
hwid10
Programming languages (18)
Github contributions (5)
ccat3z/Auto-Chao-Xing
Feb 2018 - Mar 2020
Contributions:41 commits, 10 pushes, 1 branch in 2 years 1 month
ccat3z/velox
Mar 2023 - Mar 2025
A new C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
Contributions:104 pushes, 16 branches in 1 year 11 months
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