Kyle Huang
GenAI Solutions Architect at NVIDIA
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Huang is a GenAI Solutions Architect with eight years of experience building and operationalizing large-scale ML and distributed systems across cloud and edge environments. Currently at NVIDIA after leading GenAI and Ray-based solution work at Anyscale, he combines hands-on coding with customer-facing architecture to turn prototypes into production-grade deployments. His background spans AWS rapid prototyping for global customers and building the first seismic deep learning team at CGG, where he led a 20+ engineer center and optimized HPC pipelines with CUDA and Spark. Based in Houston, he blends deep systems, GPU, and cloud expertise with practical product sense, and is an active open-source integrator of LangChain, LlamaIndex and Canopy in real-world GenAI stacks.
7 years of coding experience
16 years of employment as a software developer
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at University of HoustonBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Peking University
Github Skills (93)
python10
vector-database10
mlops10
huggingface10
optimization10
api10
llmops10
fine-tuning10
xpu10
transformer10
gpt10
application10
bag10
deploying10
llama10
Programming languages (6)
Github contributions (5)
curvelets/ml-inference
Sep 2019 - Dec 2022
Contributions:3 PRs, 10 pushes, 3 branches in 3 years 3 months
kylehh/langchain
May 2023 - Apr 2024
⚡ Building applications with LLMs through composability ⚡
Contributions:88 pushes, 18 branches in 11 months
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