Ardian Umam
Computer Scientist
Hsinchu, Taiwan Province, Taiwan, Province of China
Summary
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SeniorArdian Umam is a Senior AI/Machine Learning Engineer with nine years of experience focused on computer vision, deep learning, and multi-modal AI, currently building 3D human avatar and motion estimation systems at Qualcomm. He holds advanced degrees from National Yang Ming Chiao Tung University and has a track record of translating research into efficient production models—optimizing detection and depth estimation for Jetson TX2 and cutting audio quality estimation error by 45% during a Google internship using self-supervised learning. Formerly a lecturer and researcher, he bridges academia and industry, leading projects and mentoring students while shipping edge-optimized and scalable ML solutions. Based in New Taipei, Taiwan, Ardian combines rigorous academic results with hands-on engineering and a personal curiosity that spans cats and music—suggesting a creative, multidisciplinary approach to problem solving.
9 years of coding experience
Github Skills (158)
pytorch3d10
audio9
computer-vision9
simulator9
python9
deep-learning9
unreal9
pytorch9
machine-learning9
data-mining9
big-data-analytics9
tabletpc9
tensorflow9
nlp8
visual-question-answering8
Programming languages (9)
Github contributions (5)
ardianumam/compilations
Nov 2017 - Feb 2022
This repository contains compilation of some chosen topics.
Contributions:14 commits, 13 pushes, 1 branch in 4 years 3 months
ardianumam/Tensorflow-TensorRT
Jan 2019 - Jul 2019
This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.
Contributions:26 commits, 19 pushes, 1 branch in 5 months
deep-learningtensorflowtensorrt
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