Hengtao Tantai
Product Management Director at LaneLeads TECHNOLOGY CO LTD
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolHengtao Tantai is a Product Management Director based in Beijing with 12 years of experience bridging online marketing, web development, and product strategy across e-commerce and tech companies. He has progressed from web developer roles into leadership at LaneLeads, drawing on prior stints at Alibaba and DHgate to shape growth-focused product roadmaps. Technically fluent, Hengtao contributes to open-source ML education—bringing practical PyTorch examples to life in a popular handbook—highlighting a hands-on approach to machine learning despite a product-facing role. His background in computer science and early developer experience give him a strong grounding in both implementation and go-to-market execution. Colleagues describe him as someone who blends data-driven product decisions with a tinkerer’s curiosity—aptly reflected in his self-described interest in machine-learning “fortune-telling.”
12 years of coding experience
4 years of employment as a software developer
Computer science and technology, Computer science and technology, Computer science and technology, Computer science and technology at Beijing Union University
Chinese, English
Github Skills (8)
neural-network10
pytorch10
machine-learning10
convolutional-neural-networks10
python9
deep-learning9
computer-vision9
mnist8
Programming languages (6)
Github contributions (5)
zergtant/pytorch-handbook
Dec 2018 - Mar 2022
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Role in this project:
ML Engineer
ML EngineerContributions:130 commits, 43 PRs, 120 pushes in 3 years 4 months
Contributions summary:Hengtao primarily contributed to the first chapter of the PyTorch Handbook, focusing on training a classifier using the CIFAR10 dataset. They updated code examples in the first chapter, which included the steps of loading, normalizing, and training a convolutional neural network. In the second chapter, the user made significant updates to include the basic concepts of Pytorch and then applied these basics in training a model on MNIST. The updates also include corrections of typos.
pytorchdeep-learningmachine-learningpytorch-tutorialsneural-network
zergtant/stunnel-3proxy-centos
Jan 2014 - Feb 2020
Contributions:10 commits, 4 pushes in 6 years 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.