Zheng Song
Team Lead at ViSenze
Singapore
Summary
👤
Senior🎓
Top SchoolZheng Song is an experienced AI and computer vision leader with 13 years of applied research and product delivery, currently serving as Team Lead at ViSenze in Singapore. He progressed internally from senior applied research engineer to data science manager and now leads teams building scalable ML/Ops, computer vision, and NLP solutions for visual search and recognition. His background includes a PhD from NUS and early research roles that grounded him in robust academic approaches to real-world systems. Zheng blends hands-on algorithm development with production ML deployment, focusing on systems that perform at scale in commercial settings. Colleagues describe him as a pragmatic technologist who moves prototypes to product while mentoring engineers across research and engineering boundaries. An attention to both model performance and operational reliability distinguishes his approach to AI engineering.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Peking UniversityPh.D, Electrical and Computer Engineering, Ph.D, Electrical and Computer Engineering at National University of Singapore
Chinese
Github Skills (6)
object-detection1
structure-from-motion1
computer-vision1
deep-learning1
machine-vision1
image-processing1
Programming languages (2)
Github contributions (5)
songzheng/ThesisCode
Aug 2012 - Sep 2012
Contributions:21 commits in 1 month
visenze/learned-sparse-retrieval
Oct 2024 - Jan 2025
Unified Learned Sparse Retrieval Framework
Contributions:3 PRs, 4 pushes, 1 branch in 3 months
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