Hua Hua
Machine Learning Engineering at Capital One
United States
Summary
👤
Senior🎓
Top SchoolHua Hua is a Machine Learning Engineer with nine years of experience applying Python-first modeling tools (Keras, scikit-learn, H2O) to real-world customer analytics at Capital One, including RNN and bi-directional LSTM architectures for forecasting and NLP classification. Comfortable moving models from experimentation into production, Hua has built uplift, segmentation, and marketing response models and led feature-rich projects spanning MPSoC, Linux, and OpenCV on GitHub. With a foundation in mechanical engineering (BS/MS) and early hands-on experience in CAD, prototyping and SAS-based data support, Hua brings a systems-minded approach to model design and data engineering. Notably, their background spans both low-level embedded/vision work and high-level sequence modeling, enabling pragmatic solutions that bridge research and production.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Mechanical Engineering, Bachelor of Science, Mechanical Engineering at Saint Louis UniversityJohns Hopkins University
Github Skills (52)
chatgpt10
simulator9
xilinx9
large-language-models9
linux-kernel9
points9
vitis9
fpga9
deep-reinforcement-learning8
ros8
computer-graphics8
rendering8
unreal-engine-48
simulation7
visualization7
Programming languages (4)
Github contributions (5)
Leetcode-Study-Group/HSqure-leetcode-solution-library
Feb 2022 - Jun 2022
Contributions:310 pushes, 1 branch in 4 months
HSqure/OpnCV_QRcode
Mar 2017 - May 2019
Contributions:3 commits, 3 pushes, 1 branch in 2 years 3 months
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