Deep Learning Software Engineer
Current> Accelerate the inference speed of trained deep neural network models in CUDA
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@nvidia.com
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2 phones found area 217
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Po-Han Huang is listed as Deep Learning Software Engineer at NVIDIA at NVIDIA, based in San Jose, California, United States. AeroLeads shows a work email signal at nvidia.com, phone signal with area code 217, and a matched LinkedIn profile for Po-Han Huang.
Po-Han Huang previously worked as Deep Learning Software Engineer at Nvidia and Head Teaching Assistant at University Of Illinois At Urbana-Champaign. Po-Han Huang holds Master’S Degree, Electrical And Electronics Engineering from University Of Illinois Urbana-Champaign.
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AeroLeads found 1 current-domain work email signal for Po-Han Huang. Compare company email patterns before reaching out.
I am currently a deep learning software engineer at NVIDIA. We are working on acclerating the inference of trained deep neural network models. No matter which framework the model was trained on, TensorRT provides a unified platform to deploy the model on NVIDIA GPUs at maximum speed.I was in the Master of Science program in Electrical and Computer Engineering at University of Illinois at Urbana-Champaign. I received my Bachelor of Science degree in Electrical Engineering here in December, 2015.My MS thesis is entitled DeepMVS: Learning Multi-View Stereopsis, and our paper is accepted to CVPR 2018. This project was done in collaboration with Prof. Jia-Bin Huang at Virginia Tech and Kevin Matzen and Johannes Kopf at Facebook under the supervision of Prof. Narendra Ahuja.
Listed skills include C++, Python, Cuda, Pytorch, and 16 others.
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Santa Clara, CA, US
> Accelerate the inference speed of trained deep neural network models in CUDA
Champaign, IL, US
Course: ECE385: Digital Systems Laboratory> Gain experience of giving oral presentations and lectures on stage with fluent and succinct delivery> Organize course contents with step-by-step structures which enable the audience to easily understand the concept
Urbana, Illinois, US
> Estimated 3D model of human faces using data from RGB-D cameras> Maximized utilization of parallel computing power in multi-GPU computation> Became a co-inventor of two pending patents.
Champaign, IL, US
Course: ECE 120: Introduction to Computing> Provided concept clarification on students’ mistakes in assignments> Located errors in program codes accurately and efficiently
Champaign, IL, US
Course: ECE 120: Introduction to Computing> Assisted students with lab procedures and answered questions regarding programming in assembly language and C> Strengthened skills in providing clear and understandable explanations for client inquiries
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Eli Guttman
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Israel, Israel
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Venkata Sai Krishna Manchikanti
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Vijayawada, Andhra Pradesh, India, India
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Ernakulam, Kerala, India, India
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Haymarket, Virginia, United States, United States
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Fremont, California, United States, United States
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Quick answers generated from the profile data available on this page.
Po-Han Huang works for NVIDIA.
Po-Han Huang is listed as Deep Learning Software Engineer at NVIDIA at NVIDIA.
AeroLeads has found 1 work email signal at @nvidia.com for Po-Han Huang at NVIDIA.
AeroLeads has found 2 phone signal(s) with area code 217 for Po-Han Huang at NVIDIA.
Po-Han Huang is based in San Jose, California, United States while working with NVIDIA.
Po-Han Huang has worked for Nvidia, University Of Illinois At Urbana-Champaign, and Personify Inc.
Po-Han Huang's colleagues at NVIDIA include Sam David N, Minh Ho, Donna Squires, Eli Guttman, and Sergey Shvedov.
You can use AeroLeads to view verified contact signals for Po-Han Huang at NVIDIA, including work email, phone, and LinkedIn data when available.
Po-Han Huang holds Master’S Degree, Electrical And Electronics Engineering from University Of Illinois Urbana-Champaign.
Po-Han Huang is listed with skills including C++, Python, Cuda, Pytorch, Opencv, Matlab, Systemverilog, and Machine Learning.
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