Wenbo Wang - Applied Scientist at Amazon

Wenbo Wang

Applied Scientist at Amazon

Shanghai, Shanghai, China

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Summary

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Rockstar

🎓

Top School

Wenbo Wang is an Applied Scientist with a Ph.D. in Statistics and four years of industry experience building ML-driven search, ranking, and recommendation systems at Amazon and Google. He has repeatedly shipped production models optimizing CTR, relevance, and bidding for large-scale e-commerce and advertising platforms, and previously developed substitute-product detection and repurchase recommendations at Amazon. His background blends statistical rigor—published in JASA and NeurIPS—with hands-on systems work in Python, C++, and R, and notable open-source contributions to high-performance MPI and libfabric projects enhancing networking primitives and collective algorithms. Comfortable moving models from research to production, Wenbo focuses on elegant classifiers and system optimizations that measurably improve customer experience across global marketplaces.

4 years of coding experience

5 years of employment as a software developer

Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Fudan University

Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Binghamton University

Chinese, English

Stackoverflow

Stats

1reputation

0reached

1answer

0questions

Github Skills (14)

c1710

mpi10

hpc10

c1110

rdma10

performance-optimization9

fortran9

infiniband9

linux8

unit-testing8

package6

eclipse6

spring6

java6

Programming languages (6)

JavaShellC++CPHPPython

Github contributions (5)

ofiwg/libfabric

Jun 2022 - Jan 2023

Open Fabric Interfaces

Role in this project:

Backend Engineer

Contributions:828 reviews, 26 commits, 122 PRs in 7 months

Contributions summary:Wenbo focused on improving the performance and stability of the libfabric library, specifically within the EFA (Elastic Fabric Adapter) provider. Their work involved identifying and mitigating a performance regression caused by unrestricted completion queue polling. They implemented changes to restrict the CQ poll size, improving RMA read/write bandwidth. Furthermore, the user addressed issues related to recovering peer addresses and updating references to efadv_wc_read_sgid.

interfacesminecraftfabric

open-mpi/ompi

May 2022 - Sep 2024

Open MPI main development repository

Role in this project:

Back-end Developer

Contributions:294 reviews, 289 PRs, 143 pushes in 2 years 4 months

Contributions summary:Wenbo primarily contributed to the Open MPI project by implementing and refining core functionalities related to the Message Passing Interface (MPI). Their work focused on improving device matching and package rank calculations within the OpenFabrics Interface (OFI) component. They also introduced a new allreduce algorithm using allgather and local reduction and fixed several bugs in the communicator and accelerator modules. Furthermore, the user added documentation updates and introduced new APIs to release and synchronize streams and events.

mpicluster-computingfortranopenmpipetsc

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