Haixin Wang
Member Of Technical Staff at Inflection AI
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHaixin Wang is a machine learning-focused software engineer with four years of experience building production AI infrastructure, currently contributing as a Member of Technical Staff at Inflection AI. With an M.S. in Computer Science from The Ohio State University and a background in network engineering from Xidian University, he blends systems-level C++ and Java expertise with Python-driven ML workflows. At AWS he helped maintain SageMaker JumpStart first‑party algorithms (notably sagemaker-xgboost and BlazingText) and extended the sagemaker-python-sdk to support new framework releases and regional deployments. More recently he built AI agent infrastructure at TensorOpera, designing tools, protocols, and server frameworks that power agent interoperability. Based in Sunnyvale, Haixin pairs hands-on open-source contributions with a practical knack for turning model and infra upgrades into regionally deployable, test-covered releases.
4 years of coding experience
5 years of employment as a software developer
Other summer school, Other summer school at Imperial College LondonBachelor’s Degree Network Engineering, Bachelor’s Degree Network Engineering at Xidian UniversityHigh School Diploma, High School Diploma at Xi'an Gaoxin No.1 High SchoolMaster’s Degree Computer Science & Engineering, Master’s Degree Computer Science & Engineering at The Ohio State University
Chinese, English
Github Skills (12)
machine-learning10
huggingface10
aws10
python10
sagemaker10
pytorch9
mlops8
tensorflow7
docker4
dockers4
kubernetes3
kubernetes-pods3
Programming languages (5)
Github contributions (5)
aws/sagemaker-python-sdk
Apr 2022 - Jul 2022
A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
ML Engineer
ML EngineerContributions:8 reviews, 2 commits, 14 PRs in 3 months
Contributions summary:Haixin primarily contributed to the Amazon SageMaker Python SDK by adding support for new versions and configurations of various machine learning frameworks within the SageMaker ecosystem. Their work focused on incorporating new releases of Hugging Face Transformers (TGI) and PyTorch Neuronx, including image URI configurations and associated tests. Additionally, they updated the SDK to support new regions for JumpStart and other services, updating image URI and related configuration details to reflect regional launches.
pytorchsagemakerdeployingmxnetpython
awslabs/llm-hosting-container
Sep 2023 - Jul 2024
Large Language Model Hosting Container
Contributions:21 reviews, 17 PRs, 59 pushes in 10 months
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