Hanbo Wang
Engineering Manager, ML Distributed Training, Annapurna Labs (AWS)
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolHanbo Wang is an engineering leader with 12 years of experience building large-scale ML systems and distributed infrastructure, currently managing ML distributed training at Annapurna Labs (AWS) in Seattle. He has a track record of shipping high-throughput, cost- and carbon-efficient training and inference platforms for state-of-the-art multi-modal models and previously led teams that produced over $600M in value through explainable, personalized recommendation systems at Amazon. Hanbo founded and scaled product semantics efforts powering daily embeddings and approximate kNN search for billions of products, blending deep learning, systems design, and serverless engineering. He mentors engineers and applied scientists, publishes in top ML venues, and brings a rare combination of hands-on modeling, productionization, and business impact. Trained in electrical and computer engineering and a valedictorian MS graduate, he uniquely pairs rigorous academic roots with pragmatic, production-grade ML engineering.
11 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Valedictorian Computer Engineering / Computer Science, Master of Science (M.S.) Valedictorian Computer Engineering / Computer Science at Northeastern UniversityBachelor of Science (B.S.) Electrical and Computer Engineering, Bachelor of Science (B.S.) Electrical and Computer Engineering at Shanghai Jiao Tong University
Stackoverflow
1reputation
0reached
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Github Skills (4)
sdk8
java6
ecommerce5
python1
Programming languages (1)
Github contributions (2)
Vantiv/litle-sdk-for-java
May 2014 - Jun 2014
Vantiv eCommerce SDK For Java
Contributions:9 commits in 5 days
javaecommercesdk
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