Simba Zhang
Staff Edge AI Engineer at LG Electronics
Livermore, California, United States
Summary
🤩
RockstarSimba Zhang is a Staff Edge AI Engineer with over a decade of hands-on experience building embedded Linux, edge AI, and cloud systems, and five years focused on deep learning engineering. He co-founded SharpAI and led development of an industry-leading Edge AI vision cluster used in the Hong Kong–Zhuhai–Macao Bridge project and certified by a provincial police department, and his open-source DeepCamera project contributes 40k+ lines spanning embedded to cloud. He blends low-level system bring-up and GPU/OpenCL inference optimizations with production ML practices like on-device transfer learning, AutoML, and human-in-the-loop pipelines to deploy reliable real-world models. Comfortable as a startup generalist and technical director, he has shipped voice and vision AI products for hospitals, schools, banks, and public security, and has experience integrating AWS backends with NVIDIA Jetson at the edge. Based in Livermore, CA, he combines pragmatic engineering with product-minded safety use cases—turning surveillance cameras into actionable AI systems while wrestling with the quirks of real deployment data.
12 years of coding experience
10 years of employment as a software developer
Github Skills (20)
git10
python10
apidoc10
scripting10
bots10
machine-learning10
celery10
automation10
api10
version-control10
automations10
dockers9
flask-ask9
object-oriented-programming9
docker9
Programming languages (12)
Github contributions (5)
SharpAI/DeepCamera
Oct 2018 - Jan 2023
Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 releases, 8 reviews, 928 commits in 4 years 3 months
Contributions summary:Simba primarily focused on contributing to the backend aspects of the project, including the integration of Python, with a focus on machine learning pipelines. They implemented and modified core functionalities within the backend system, as evidenced by the code changes that involved dependencies related to Celery, Django, and the development of API features. The user also worked on building the infrastructure setup, including Docker and related tools for the development and deployment of the project.
nvidia-jetson-nanovideo-surveillancepythoncameraface-recognition
PokemonGoF/PokemonGo-Bot
Jul 2016 - Sep 2017
The Pokemon Go Bot, baking with community.
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 releases, 508 commits, 875 PRs in 1 year 1 month
Contributions summary:Simba primarily contributed to the core functionality of the Pokemon Go Bot, focusing on implementing features and improving the bot's logic. Their work included adding automated switching between capture and farm modes, updating core scripts like the stepper.py, and adding item management using an item list. Additionally, the user was involved in refactoring, merging code, and incorporating changes from other branches, demonstrating a good understanding of the codebase.
pythonpokemongofdiscordbotdiscord-bot
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