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4-6 years
6-10 years
10-15 years
More than 15 years
6-10 years
國立清華大學
・
Computer ScienceAudio Visual Specialist @CHUM (University of Montreal Health Centre) - Montreal, Canada2019 ~ Present
・
Audio Visual Specialist
More than one year
Full-time / Interested in working remotely
6-10 years
ESIGETEL - École Supérieure d'Ingénieurs en Informatique et Génie des Télécommunications
・
Master's degree Embedded System
Offline
Offline
Machine Learning Software Engineer @AMD2021 ~ Present
・
Machine Learning Engineer
Within two months
Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision). e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR). f. Inference simulator via high level IR. g. Co-work with IC designer to design the cmodel of AI accelerator. Stereo Vision accelerator a. Prototype the hardware-friendly stereo matching algorithm. b. Co-work with IC designer to design the cmodel. Deep Learning Engineer , Bitmain, AugOct 2019 Mainly focus on deep learning accelerator (so called NPU or TPU and
Employed
Full-time / Interested in working remotely
6-10 years
National Chiao Tung University
・
Computer Science
Android/Linux BSP Engineer @興聯科技股份有限公司2022 ~ Present
・
Android Developer
Within one month
support new hardware. 4. Rework Makefile to fit libraries. 5. A lot of cross-compiler jobs. Developer • 麵包屑手作屋 & 麥奇兜 SepWeb UI of WordPress. 2. Hosting Server of Hawk rent, and maintenance. 3. Database architecture design. 4. Json API Design. 5. Android App design, uses the Kotlin language. 6. IOS App design, uses the Swift language. 7. Flutter App design and delivery to IOS App Store and Google Play Store. 8. DNS maintenance. 9
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
中國科技大學
・
資訊工程科/Computer Science and Information Engineering
Technical Manager @Ambarella Inc.2014 ~ Present
・
Within one month
German, Italian) tier-1 clients and to support customers' requirements project management, mentoring and assigning tasks to engineers, leading firmware engineers to deliver projects on time Staff Engineer ADAS/Vision/Radar (1) Surround reconstruction algorithm designD/3D/Object Detection, Object Mask neural network post processing algorithm design. (3) Integrate Radar/vision fusion, multi-sensor fusion (4) ADAS demo cars built for customers, including debugging, testing and data analysis (5) Feature matching algorithm design (6) Radar and camera calibration algorithm design (7) Algorithm optimization (OpenGL/OpenCL, vector processor/accelerator) ISP/IQ/
Employed
Full-time
10-15 years
元智大學 Yuan Ze University
・
computer science
Team Lead/Senior Software Engineer @MEXC2022 ~ Present
・
Software Engineer
Within one month
Red Cho As a software engineer with e xperience of distributed systems, algorithms, database and multi-programming languages Taipei, Taiwan Work Experience Software Team Lead / Software engineer • Mexc Global • 2022/09~Present ．Review code, system design and make decision with technical trade off in every project, features when as a team lead(around 8 months). ．Lead the cross-functional project, solve the problem in communication, trade off, division of labor and cooperation and make sure the project work successfully for more than 6 teams. ．Optimized multiple api, features, data pipeline in work, the most successful one
Employed
Full-time / Interested in working remotely
6-10 years
Senior Engineer @Advantech 2019 ~ Present
・
More than one year
scripts to reduce resource usage (Python) Responsible for coordinating the upgrade issue of linting tools Full Stack Engineer • Advantech MayJuly 2022 Responsible for website development of IOT device management (VueJs) Responsible for developing APIService to connect with DB (Influx, NodeJs) Designing process by implementing CI/CD, reducing time of compiler and deploy by 60% (Python, Jenkins) Hololens 2 simulator development, using Azure Spatial Anchor to realize MR virtual interaction (Unity) Back-end Engineer • III AugMay 2019 Responsible for converting third-party data into our system (JAVA) Responsible for DB Schema and Linux server maintenance (Postgresql) Build a monitoring system
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
Chung Yuan Christian University.
・
Department of Electronic EngineeringEmployed
Full-time / Interested in working remotely
10-15 years
China University of Science and Technology
・
Electrical Engineering
Solution Specialist Full Stack @Link Development2022 ~ Present
・
Team Leader
Within one month
Nationality : Egyptian Zip code :Gender : Male Marital status: Single Military Service: Exempted Education Faculty of Computers Engineering – Thebes Academy 2015: • Total Grade is Good: 72.4% • Excellent in Graduation project. Elective Modules Included: • Operating system (Very Good +) • Microprocessors (Excellent) • Software Engineering (Very Good +) • Logic circuit (Excellent) • Compiler (Very Good) Work Experience ADS Solutions, JulyPresent Full Stack Developer .NET Core Entity Framework Core & LINQ Architecture [CQRS - DDD - Domain Events - Event Sourcing - Unit of Work - Repository] SQL Server Angular 9 SQL Server Docker & Jenkins Mawarid Tech, DecJul 2020 Full Stack Developer .NET Core Entity Framework Core
Employed
Full-time / Interested in working remotely
6-10 years
Thebes Academy
・
Computer Engineering
Software Consultant @ADX Microsystems1995 ~ 1997
・
Senior Software architect, designer, developer
More than one year
and develop supporting applications, for an investment firm. Write proof-of-concept applications. Give group presentations and one-on-one training in Eiffel and OOP skills. AXA Rosenberg Additional work experience Software languages: C, C#, Python, PHP, JavaScript, HTML, SQL, Eiffel, Assembly, others. Software applications: Compiler/debugger, Image processing & layout, Particle simulations, Video games. Firmware (C & Assembly): Ethernet and SCSI drivers, Wireless telecommunications base and handset controllers, Cable TV test units. Hardware: Silicon chip design & layout for ALU and floating point processor; Board design and layout for cable test units. Education
Part-time / Interested in working remotely
More than 15 years
Caltech
・
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Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Professional Background
Current status
Employed
Job Search Progress
Professions
Machine Learning Engineer
Fields of Employment
Semiconductor
Work experience
6-10 years
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Job search preferences
Positions
Machine Learning Engineer
Job types
Full-time
Locations
Taiwan, Taipei, 台灣
Remote
Interested in working remotely
Freelance
Educations
School
National Chiao Tung University
Major
Computer Science
Rocking Lai
Introduction
I am a deep learning engineer as well as professional software engineer.
I take part in various deep learning & computer vision projects, from software application to AI chip.
Also have the experience of developing video surveillance system (full-stack).
In addition, I strive for learning and constantly looking for ways to share my knowledge.
I am the mentor of Coursera, which helps students in learning computer vision and machine learning.
Skills
Domain Knowledge
- GPU Programming
- Deep Learning Compiler
- Neural Network Quantization
- Computer Vision Algorithm
- Surveillance System
Tool
- C++
- Python
- Pytorch
- OpenCV
Experience
Machine Learning Software Engineer, AMD, Sep 2021 - Present
- Develop GPU backend of various deep learning framework. Eg. PyTorch, Tensorflow, Onnx runtime
a. Implement and optimize GPU kernel
b. Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax.
c. Low precision arithmetic for deep learning.
Deep Learning Engineer, CVITEK, Oct 2019 - Sep 2021
- Spin off from Bitmain.
- Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator.
- Deep learning accelerator
a. Research and prototype the int8, int4 and bf16 quantization algorithm.
b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (US20220129736A1, CN114492721A).
c. Model compression flow (heterogeneous quantization).
d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision).
e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR).
f. Inference simulator via high level IR.
g. Co-work with IC designer to design the cmodel of AI accelerator.
- Stereo Vision accelerator
a. Prototype the hardware-friendly stereo matching algorithm.
b. Co-work with IC designer to design the cmodel.
Deep Learning Engineer, Bitmain, Aug 2018 - Oct 2019
- Mainly focus on deep learning accelerator (so called NPU or TPU and so on)
- Research of deep learning algorithm for edge AI accelerator.
a. int8 and bf16 quantization algorithm.
b. Post training based mix-precision algorithm.
c. Quantization-aware training flow. - Deep learning compiler
a. Quantization tool (calibration, fine tuning).
b. Inference simulator for high level IR (cpu & gpu).
c. Co-work with IC designer to design the cmodel of AI accelerator.
Algorithm Engineer, ULSee, Jun 2017 ~ Aug 2018
- Vision algorithm for robot (object detection, gesture recognition, posture recognition).
- Facial landmark tracking algorithm.
- Improve face recognition flow.
- Driver fatigue detection, phone talking detection for ADAS (Advance driver assistance system).
- Plan & design the face recognition system for various projects. (IP camera integration, video
management, lead the scrum flow).
Software Engineer, NUUO, Sep 2014 ~ Oct 2017
- Design and maintained the Network video recorder (NVR). It is an embedded Linux, which can received video
stream from IP camera, various type of recording, video analytic, third party integration.
- Develop new features for NVR client, which can play live video, playback video, smart search video, event
management...etc.
- Develop SDK of NVR, provide a way for third party to integrate our NVR.
Volunteer
Course Mentor, Jan 2017 - Feb 2019
Machine Learning, offered by Stanford University.
Fundamentals of Digital Image and Video Processing, offered by Northwestern University.
Education
Master's degree, Computer Science and Information Engineering
National Chiao Tung University (2012 - 2014)
Bachelor's degree, Computer Science
National Chiao Tung University (2008 - 2012)
Publication
- Toward Community Sensing of Road Anomalies Using Monocular Vision, IEEE Sensors Journal (Volume:16 , Issue: 8 ) 2016
- Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder, IEEE International Conference on Pattern Recognition (ICPR 2014)
Patent
- Mixed-precision quantization method for neural network, US20220129736A1 (2021)
- 神經網路的混合精度量化方法, CN114492721A (2020)
Rocking Lai
Introduction
I am a deep learning engineer as well as professional software engineer.
I take part in various deep learning & computer vision projects, from software application to AI chip.
Also have the experience of developing video surveillance system (full-stack).
In addition, I strive for learning and constantly looking for ways to share my knowledge.
I am the mentor of Coursera, which helps students in learning computer vision and machine learning.
Skills
Domain Knowledge
- GPU Programming
- Deep Learning Compiler
- Neural Network Quantization
- Computer Vision Algorithm
- Surveillance System
Tool
- C++
- Python
- Pytorch
- OpenCV
Experience
Machine Learning Software Engineer, AMD, Sep 2021 - Present
- Develop GPU backend of various deep learning framework. Eg. PyTorch, Tensorflow, Onnx runtime
a. Implement and optimize GPU kernel
b. Proposed complex fused kernel, such as gemm + layernorm, gemm + reduction, gemm + softmax.
c. Low precision arithmetic for deep learning.
Deep Learning Engineer, CVITEK, Oct 2019 - Sep 2021
- Spin off from Bitmain.
- Mainly focus on deep learning accelerator (so called NPU or TPU) and stereo vision accelerator.
- Deep learning accelerator
a. Research and prototype the int8, int4 and bf16 quantization algorithm.
b. Mix-precision algorithm based on Post training, result had applied patent in US and CN (US20220129736A1, CN114492721A).
c. Model compression flow (heterogeneous quantization).
d. Design quantization flow in deep learning compiler (graph optimization, calibration, fine tuning, mix-precision).
e. Implement frontend of deep learning compiler (high level optimization and lowering to low level IR).
f. Inference simulator via high level IR.
g. Co-work with IC designer to design the cmodel of AI accelerator.
- Stereo Vision accelerator
a. Prototype the hardware-friendly stereo matching algorithm.
b. Co-work with IC designer to design the cmodel.
Deep Learning Engineer, Bitmain, Aug 2018 - Oct 2019
- Mainly focus on deep learning accelerator (so called NPU or TPU and so on)
- Research of deep learning algorithm for edge AI accelerator.
a. int8 and bf16 quantization algorithm.
b. Post training based mix-precision algorithm.
c. Quantization-aware training flow. - Deep learning compiler
a. Quantization tool (calibration, fine tuning).
b. Inference simulator for high level IR (cpu & gpu).
c. Co-work with IC designer to design the cmodel of AI accelerator.
Algorithm Engineer, ULSee, Jun 2017 ~ Aug 2018
- Vision algorithm for robot (object detection, gesture recognition, posture recognition).
- Facial landmark tracking algorithm.
- Improve face recognition flow.
- Driver fatigue detection, phone talking detection for ADAS (Advance driver assistance system).
- Plan & design the face recognition system for various projects. (IP camera integration, video
management, lead the scrum flow).
Software Engineer, NUUO, Sep 2014 ~ Oct 2017
- Design and maintained the Network video recorder (NVR). It is an embedded Linux, which can received video
stream from IP camera, various type of recording, video analytic, third party integration.
- Develop new features for NVR client, which can play live video, playback video, smart search video, event
management...etc.
- Develop SDK of NVR, provide a way for third party to integrate our NVR.
Volunteer
Course Mentor, Jan 2017 - Feb 2019
Machine Learning, offered by Stanford University.
Fundamentals of Digital Image and Video Processing, offered by Northwestern University.
Education
Master's degree, Computer Science and Information Engineering
National Chiao Tung University (2012 - 2014)
Bachelor's degree, Computer Science
National Chiao Tung University (2008 - 2012)
Publication
- Toward Community Sensing of Road Anomalies Using Monocular Vision, IEEE Sensors Journal (Volume:16 , Issue: 8 ) 2016
- Vision-Based Road Bump Detection Using a Front-Mounted Car Camcorder, IEEE International Conference on Pattern Recognition (ICPR 2014)
Patent
- Mixed-precision quantization method for neural network, US20220129736A1 (2021)
- 神經網路的混合精度量化方法, CN114492721A (2020)