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4-6 years
6-10 years
10-15 years
More than 15 years
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
逢甲大學
・
電子工程學系
Past
歌手/製作人 @任意門娛樂股份有限公司2021 ~ Present
・
企劃
Within six months
deliver exceptional results. • Collaborating with artists to develop and produce high-quality music that meets their artistic vision and resonates with audiences. • Providing musical direction and guidance to artists during recording sessions, while using my technical expertise to create a polished and professional final product. Collaborating with engineers and other music professionals to mix and master recordings to the highest standards. • Keeping up-to-date with the latest trends and technologies in music production, while leveraging my deep understanding of the industry to deliver hit records across multiple genres. • Managing relationships with record labels and
Unemployed
Full-time / Interested in working remotely
6-10 years
東吳大學
・
英國語文學系Intern @商業發展研究院 Commerce Development Research Institute2023 ~ Present
・
Program Manager
Within one month
Studying
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Yang Ming Chiao Tung University
・
Global MBA Program
Lead Technical Recruiter
Within six months
Ankush Gokhe 7+ years of Technical Recruiter experience, excellent at passive recruitment with expressive communication skills. Lead Technical Recruiter Singapore:/https://www.linkedin.com/in/ankush-gokhe-07b64b6a/ [email protected] Skills Recruiting the founding engineering team for an early stage start up. Experience Peepalsys 01, JanPresent Working on different technical hiring from different platforms. Meeting the deadlines with the good turn around ratio. Belzabar 20, AprDec 2016 • Specialized in technical recruitment across different functions, geographies and levels for niche and senior level positions.
Ready to interview
Full-time / Not interested in working remotely
6-10 years
CMCS
・
Computer Science
專案副理-零售業務部 @神腦國際企業股份有限公司 Senao International Co., Ltd.2023 ~ Present
・
Business Intelligence, Data Analyst, Strategy Planning
Within one month
accessory pricing and repair service fee pricing. - Set sales KPIs, and designed commission incentive programs for engineers and franchisees. [Achievements] - The repair service revenue achievement rate was 102% in 2022Q1-Q3, with a YoY growth of 33%. - Turned a loss into a profit for Gogoro stores by engineer allocation and expense recognition principle adjustment by reducing the cost and maximum productivity. - Joined the repair service fee adjustment project in 2022, and was responsible for P&L evaluation. Scooter Business Planner • Gogoro JanAugResponsible for electric scooter sales planning - Developed scooter sales forecasting and product mix plan
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立中山大學
・
Master of Business Administration
Past
Creative, Design, Technical & PR Consultant @Briljent2018 ~ Present
・
Associate Creative Director or Sr (Interdisciplinary) Art Director
Within one month
David Filip Christov So, who is this guy? In short... Some say he is a great mix of design street smarts, geek chic & being a creative with a gift for imaginative visualisation, and functional multifaceted design and technical expertise. David encompasses a mixed combination of skills & experience: Art Direction/ Graphic Design/ Photography/ Advertising/ Marketing/ Packaging/ Training etc. He also comprehends & fulfils these fields with a high level of technical skill & knowledge with mastery of many of the essential tools within these and many other fields both manually & digitally.
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
Small Business Management
・
Cert IV Further Education
Specialty Food Ingredients Supplier
More than one year
Food, we understand the complexity inherent in a pat of butter. We cater exclusively to food manufacturers who, by nature of the work that they do, have very particular flavor and texture needs. These requests often can't be met with typically-produced, full-moisture butter; however, we engineer our diverse line of powdered butters to meet a wide range of culinary applications. Our powders can be readily utilized in place of traditional butter, and work superbly in large-batch soups, sauces, candies, and pastry mixes. Cheese Powders Bluegrass Dairy and Food is a food manufacturer
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
Glasgow
・
Kentucky
Offline
Offline
Machine Learning Software Engineer @AMD2021 ~ Present
・
Machine Learning Engineer
Within two months
arithmetic for deep learning. Deep Learning Engineer , CVITEK, OctSep 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 (USA1, CNA). 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
Employed
Full-time / Interested in working remotely
6-10 years
National Chiao Tung University
・
Computer ScienceAudio Editor and Music Consultant @Gerigis Film2016 ~ 2018
・
Audio Editor
Within six months
Mix and balance multiple audio tracks or music for voice-over and audiobook projects to create a seamless final product. Remove background noise, clicks, pops, and other unwanted sounds from audio files. Ensure proper pacing, timing, and rhythm of the voice-over recordings. Founder and Senior Sound Engineer TearGas Lab StudioPresent) Bandung, Indonesia Record vocals and music in any digital format. Mix and master vocal arrangements and music compositions, and optimized songs, and albums. Regulate volume level and sound quality during recording sessions. Control sound levels and outputs to produce high-quality tracks for
Employed
Part-time / Interested in working remotely
More than 15 years
Senior Engineer @So-net Entertainment Taiwan2018 ~ Present
・
Engineer
Within three months
Employed
Full-time / Interested in working remotely
10-15 years
遠東科技大學 Far East University
・
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Definition of Reputation Credits
Technical Skills
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.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
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)