Who is Hui-Tang Chang? Overview
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Quick answer
Hui-Tang Chang is listed as AI Backend Engineer at Atmee.ai, based in Taipei City, Taiwan, Province of China. AeroLeads shows a matched LinkedIn profile for Hui-Tang Chang.
Hui-Tang Chang previously worked as Founding Engineer at Instill Ai and Senior Backend Engineer at Instill Ai. Hui-Tang Chang holds Master Of Science - Ms, Electrical Engineering (Computer Science Group) from National Taiwan University.
Company email context
Email format at Atmee.ai
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Atmee.ai
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Profile bio
About Hui-Tang Chang
Hui-Tang Chang is a AI Backend Engineer at Atmee.ai. They possess expertise in python, video editing, machine learning, deep learning, javascript and 3 more skills. They is proficient in English.
Listed skills include Python, Video Editing, Machine Learning, Deep Learning, and 4 others.
Current workplace
Hui-Tang Chang's current company
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11 roles
Hui-Tang Chang work experience
A career timeline built from the work history available for this profile.
Founding Engineer
Senior Backend Engineer
Team Lead
- Team lead of Web Platform Team- Lead a team (~6 members) to develop microservice-based face recognition access control system,providing the following abilities: a. Device, user and group management b. AI face recognition pipeline c. Video intercom system d. Third-party modules integrations, e.g. guest system, attendance system,directory service e. Technical interface (OpenAPI, WebHook) for developers f. Web UI and Mobile APP for end users.- Develop connection SDK for edge device, providing an interface with theability to synchronize data, push event, and recognize face with accesscontrol system.
May 2020 - Jun 2022
Senior Algorithm Engineer
- Develop 3D face recognition product on edge computing device (Rockchips RK3399 Android)- Migrate deep learning models to devices, implement face recognition pipeline.
May 2019 - Apr 2020
Algorithm Engineer (Computer Vision)
- Develop face recognition SDK and web services on Bitmain SE3 Embedded AI Box
May 2018 - Apr 2019
Software Engineer (Computer Vision)
- Computer Vision: Face detection/attribute/recognition model- Backend: Image/video API service on GPU servers- Frontend: Labeling system for computer vision data annotation, Demo web for several projects- Other projects: a. Digital Signage for real-time face detection and attribute/emotion analysis b. Image SDK on android device c. Door security system on Nvidia Tegra
Feb 2016 - Apr 2018
Videographer & Editor
Owldream Studio
Mar 2012 - Dec 2017
Research Intern (B.S., M.S. Student)
- Advised by Dr. Y.-C. Frank Wang- Research area: computer vision and image processing
Feb 2011 - Jul 2015
Videographer And Editor
- Videographer and editor in video production team
Sep 2013 - Nov 2014
Second Lieutenant
Military Police Command, Roc
Aug 2012 - Jul 2013
2 education records
Hui-Tang Chang education
Master Of Science - Ms, Electrical Engineering (Computer Science Group)
Bachelor Of Science - Bs, Electrical Engineering
FAQ
Frequently asked questions about Hui-Tang Chang
Quick answers generated from the profile data available on this page.
What company does Hui-Tang Chang work for?
Hui-Tang Chang works for Atmee.ai.
What is Hui-Tang Chang's role at Atmee.ai?
Hui-Tang Chang is listed as AI Backend Engineer at Atmee.ai.
Where is Hui-Tang Chang based?
Hui-Tang Chang is based in Taipei City, Taiwan, Province of China while working with Atmee.ai.
What companies has Hui-Tang Chang worked for?
Hui-Tang Chang has worked for Atmee.Ai, Instill Ai, Rogersai Technology, Bitmain, and 竹间智能 Emotibot.
How can I contact Hui-Tang Chang?
You can use AeroLeads to view verified contact signals for Hui-Tang Chang at Atmee.ai, including work email, phone, and LinkedIn data when available.
What schools did Hui-Tang Chang attend?
Hui-Tang Chang holds Master Of Science - Ms, Electrical Engineering (Computer Science Group) from National Taiwan University.
What skills is Hui-Tang Chang known for?
Hui-Tang Chang is listed with skills including Python, Video Editing, Machine Learning, Deep Learning, Javascript, C++, Computer Vision, and Videography.
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