Tome Vang
Machine Learning Software Engineer at Intel Corporation
Sacramento, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTome Vang is a Machine Learning Software Engineer with nine years of experience applying computer vision and ML techniques at Intel Corporation, where he progressed from maker and intern roles into a full engineering position. Based in Sacramento, he has hands-on experience optimizing models for edge hardware, contributing practical fixes and fp16 support to the Movidius Neural Compute Stick examples and multiple TensorFlow model runners. Tome combines low-level C/C++ and build-system improvements with higher-level Python inference work, demonstrating a rare comfort across the stack of embedded ML deployment. His background in computer science from California State University, Sacramento, underpins a pragmatic, production-focused approach to model performance and portability. Colleagues describe him as someone who spots subtle numerical and portability issues early—making complex model deployments more reliable on constrained devices.
9 years of coding experience
1 year of employment as a software developer
California State University, SacramentoComputer Science, Computer Science at Cosumnes River College
Hmong, English
Github Skills (5)
computer-vision10
opencv10
c-language10
cprogramming-language10
machine-learning9
Programming languages (3)
Github contributions (5)
movidius/ncappzoo
Jan 2018 - Mar 2021
Contains examples for the Movidius Neural Compute Stick.
Role in this project:
ML Engineer
ML EngineerContributions:315 commits, 187 PRs, 54 pushes in 3 years 2 months
Contributions summary:Tome contributed to the Movidius NCS Neural Compute Stick examples repository by making code modifications to the `gender_age_lbp.cpp` file, including initial setup, code differences and changes to the `fp16.c` and `fp16.h` files, adding new fp16. The user also fixed MakeFile compile command, made text changes for visibility, and ensured float calculations for python2 in various files, making changes to `live-image-classifier.py`, `rapid-image-classifier.py`, `stream_infer.py`, `tensorflow/inception_v1/run.py`, `tensorflow/inception_v2/run.py`, `tensorflow/inception_v4/run.py`, `tensorflow/inception_v3/run.py`, and `tensorflow/mobilenets/run.py`.
deep-learningstickneural-compute-stickmachine-learningneural-network
tomevang/ncappzoo
Aug 2019 - Jan 2020
Contains examples for the Movidius Neural Compute Stick.
Contributions:48 commits, 159 pushes, 111 branches in 5 months
deep-learningstickneural-compute-stickmachine-learningneural-network
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