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4-6 years
6-10 years
10-15 years
More than 15 years
software engineer @Shopee Singapore2021 ~ Present
・
Software engineer
Within one month
Huai-En Tseng I am familiar with data plane network function virtualization programming, high performance data plane system in data center, OpenFlow protocol, OpenvSwitch, RDMA programming, SR-I/OV, system programming optimization, eBPF/XDP, DPDK, Linux kernel packet processing, Ryu SDN controller, Kubernetes CNI and device plugin for RDMA. Senior Software engineer City，Singapore/Taipei [email protected] Work experience Shopee Singapore, Senior Software engineer , Sep 2021 ~ Now 1. Self-developed RDMA SR-I/OV cluster implementation for distributed machine learning system with lots nodes and 10 thousands pods . Including developing
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University of Science and Technology
・
Software Defined Networking and Network Function VirtualizationEmployed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
南臺科技大學Southern Taiwan University of Science and Technology
・
資訊管理學系
Data Science @Alfred Labs.2017 ~ Present
・
Within two months
System. Auto-alarm system. EDUCATION University of Taipei, BS, Computer Science, 2012 ~ 2017 Transferred from the Mathematics department to the Computer Science department. The graduation thesis focused on analyzing user preference for phrases on the message board PTT. Mathematics Number theory, Calculus, Linear algebra, Abstract algebra, Probability theory, and Statistics. Computer Science Database Systems, Introduction to Machine Learning, Introduction to Image Processing , Introduction to Data Mining , Discrete Mathematics, Java, Data Structures, Digital System Design, Operating Systems, Algorithms, Digital Circuit Laboratory, Computer Network, System Programming, Assembly Language, Computer Architecture, Formal Languages and Autom...
4-6 years
University of Taipei
・
Computer Science
Past
Support Engineer (Developer support core) @ Microsoft India R & D Private Limited2008 ~ 2011
・
Senior Member Of Technical Staff
Within three months
Mohammed Mufti Senior C++ Developer C++ Developer with 18 years of experience with in-depth expertise in system / application programming, designing and debugging. Worked on varied technologies both on windows and Linux platform from User application to System Programming. Started working for Azure Software Pvt. Limited and expanded working expertise with Microsoft and Amadeus. Professional Summary :Have expertise in use of modern C++ (C++ 14/17/20) including areas like functional C++, template metaprogramming and template specialization and threading. Have in-depth
Unemployed
Full-time / Interested in working remotely
More than 15 years
Indira Gandhi National Open University(IGNOU)
・
Computer Science10-15 years
Southern Taiwan University of Technology
・
Information Engineering
Past
Vice President, Production and Operations @EVERDURA Technology Co., Ltd.2024 ~ Present
・
廠長以上職務
Within one month
許進發 (Jinn-Fa, Jim, Hsu) 25+ years' manufacturing experience in 8 and 12 inch silicon wafer industry (Shin-Etsu Handotai Taiwan and Xuzhou XinJing Semicoductor Technology Co., Ltd.) specializing in plant startup of operation, organization, reengineering, facility and equipment maintenance, MES / EAP, and general management. 11+ years' engineering experience in telecommunications industry (Alcatel and AT&T) cultivating the capability of circuit design, process layout, cost reduction, yield and productivity improvement, system programming and equipment maintenance. Versatile experience, strategic intelligence, and skill at problem solving and management in the aspect of P
Unemployed
Full-time / Interested in working remotely
More than 15 years
National Chiao Tung University
・
Technology Management
Offline
Offline
副研究員 @中華電信
電腦視覺工程師
Within six months
health condition through analyzing physical activities with accelerometer and load cell sensor. Master thesis was praised by Golden Smart Home Technology Crop. and transferred the technology to it Published a conference paper - "Detection and Assessment of Abnormal Circadian Rhythm by Analyzing Rest/Activity Cycle" to ICME 2014 Programming Have solid background in information engineering Both university and graduate school majored in Computer Science and Information Engineering Won five presidential awards in the university Served as a teaching assistant for UNIX system programming course Have about 7 years of working experience as a software engineer Developed neural network
Employed
Full-time / Interested in working remotely
6-10 years
國立台灣大學
・
資訊工程Senior Software Engineer @Google2021 ~ Present
・
Senior Software Engineer
Within six months
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
Tamkang University
・
Aerospace
MIS Programmer @WELINK Technologies, Inc.2011 ~ 2012
・
Section Manager, IT Dept.
More than one year
HUNG,CHI-WEN(Stanley) I am seeking a competitive and challenging environment where I can extensive experience serve the organization and establish an enjoyable career for myself. Motto: Think Right, Do Right, Feel Right. Software Developing Assistant Manager, MIS Dept. Taipei City, TW [email protected] Technical Skills Enterprise Software ERP: Oracle NetSuite, TIPTOP, 天心 BPM: EF.NET, EF GP, UOF Datebase: Oracle, MSSQL, MySQL Drawing: Xmind, Visio Microsoft Office system Programming ASP, Java , 4GL, JavaScript, VBScript Operation System Unix: Linux Windows: Windows 7/10, Windows Server 2008/2012 Working Experience
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chiayi University
・
Department of Management Information Systems
Sales Executive @GREEN MOTION INTERNATIONAL, Dubai, UAE2020 ~ Present
・
More than one year
OctoberOctoberComply with company-established guidelines, procedures and standards. - Ensure to follow all rules related to PNR’s, profiles, invoicing and ticketing. - Head responsibility for personnel commissions and sales weekly audit. - Develop and execute a personal marketing plan to achieve sales goals. - Recommend customers about ITR (int. trav. req.) like passport, visa etc. Education Information Systems and Management University, Latvia Marketing and ManagementInformation Systems and Management University, Latvia Marketing and ManagementSkills MS Office MS Outlook Internet Applications System Programming Photoshop Languages English — Professional Russian — Professional Persian — Fluent Turkish — Fluent Tajik — Native or Bilingual
Full-time
4-6 years
Information Systems and Management University, Latvia
・
Marketing and ManagementThe Most Lightweight and Effective Recruiting Plan
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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
Fields of Employment
Artificial Intelligence / Machine Learning, Software, Semiconductor
Work experience
6-10 years
Management
Skills
Languages
Job search preferences
Positions
電腦視覺工程師
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
No
Educations
School
Major
Li-Ren Hou
Love coding, Love sharing knowledge, straightforward and honest
Ability
Computer Vision / Deep Learning / Machine Learning
- Experience in optimizing neural network model latency and power efficiency
- Developing semi-automatic tool to search suitable model configs on MTK chip.
- Familiar with image classification, especially in face-related applications
- Participated international image classification competition - CVPR2020 Face Anti-Spoofing Attack Detection Challenge. Won the 8th place out of 186 contestants.
- Developed 2D/3D face anti-spoofing recognition systems for 2.5y and applied them in access control systems.
- Able to implement DL models from scratch according to papers and approximate the accuracy the papers claimed.
- Experience in building traditional machine learning models on time-series data for biomedical applications.
- [Master Thesis] Built a anomaly detection model to detect abnormal health condition through analyzing physical activities with accelerometer and load cell sensor.
- Master thesis was praised by Golden Smart Home Technology Crop. and transferred the technology to it
- Published a conference paper - "Detection and Assessment of Abnormal Circadian Rhythm by Analyzing Rest/Activity Cycle" to ICME 2014
Programming
- Have solid background in information engineering
- Both university and graduate school majored in Computer Science and Information Engineering
- Won five presidential awards in the university
- Served as a teaching assistant for UNIX system programming course
- Have about 7 years of working experience as a software engineer
- Developed neural network models and inference programs using Python/C++
- Developed Android applications on Zenfone and Zenbo robot using Java/C++
English
- TOEIC 815/990
Work Experience
MediaTek - Senior Software Engineer, 2021.07 - Present (0.6 years)
- AI model co-optimization, profiling and debugging with customers
ChungHwa Telecom Lab - Associate Researcher, 2018.03 - 2021.05 (3.2 years)
- Developed 2D/3D face anti-spoofing recognition models and inference module
ASUS - Sensor Software Engineer, 2014.09 - 2018.03 (3.5 years)
- Got a promotion to senior software engineer after 1.8 years
- Developed Reminder application on ASUS Zenbo robot
- Developed MP3 Tag Editor and FM radio application on Zenfone
- Ported Google Mobile Services (GMS) to different phones
Education
National Taiwan University - Computer Science & Information Engineering, 2011 - 2014
National Sun Yat-Sen University - Computer Science and Engineering, 2007 - 2011
National Tung-Shih Senior High School, 2004 - 2007
AI Competitions and Projects
[Tool Development] Model Config Tuner
- Profile model inferences on MTK chip with different model configs for searching the optimal config
- Main algorithms: Developing
- Key tools: NeuroPilot SDK
[Competition] CVPR 2020 Face Anti-Spoofing Challenge [OfficialWeb] [Code]
- Won the 8th place out of 186 contestants
- Main algorithms: MIMAMO Net, local patches, ensemble learning and cosine annealing
- Key tools: pytorch, opencv and imgaug
[Product Development] 3D Face Anti-Spoofing, 2021
- Reached average accuracy 99.9% in 10.3K test images
- Main algorithms: MobileNetV2, BBox augmentation, Quantization, Cosine Annealing and MTCNN
- Key tools: pytorch, libtorch, tensorflow and opencv
[Product Development] 2D Face Anti-Spoofing, 2018-2021
- Reached TPR=99.7% @ FAR=1.0% in about 400K test images
- Main algorithms: ensemble learning, resnet50, MTCNN
- Key tools: pytorch, libtorch, tensorflow and opencv
[Training Project] Intrusion Detection System, 2018 [Slides]
- Main algorithms: MLP and Autoencoder
- Key tools: keras, pandas, numpy
Reproduced Research
Central Difference Convolutional Network, Sep 2020 - Oct 2020
- Studied source code and reimplement preprocessing for applying to products
- Main algorithms: CDCN++, 3DDFA_v2
- Key tools: pytorch and opencv
- Reference Paper [Link]
Rebroadcast Attack Recognition CNN, Oct 2018 - Feb 2019
- Implemented the model from scratch and successfully approximate the accuracy the papers claimed
- Main algorithms: local patches
- Key tools: tensorflow and opencv
- Reference Paper [Link]
Thesis and Paper
[Master Thesis] Detection and Assessment of Abnormal Health Condition by Analyzing Circadian Rhythm and Physiologic Reserve, July 2014 [Link]
- Proposed a health assessment system, which detects and assess abnormal health condition by using circadian rhythm and physiologic reserves.
- Main algorithms: SVDD
- Key tools: Android SDK, Matlab, libsvm
- Sensors: Wearable accelerometer and load cell
Detection and Assessment of Abnormal Circadian Rhythm by Analyzing Rest/Activity Cycle, June 2014 [Link]
- A rhythm assessment system was proposed to
automatically detect and assesse abnormal circadian rhythm by
analyzing rest/activity cycle.
- Main algorithms: SVDD
- Key tools: Android SDK, Matlab, libsvm
- Sensors: Wearable accelerometer
- Conference: International Conference on Complex Medical Engineering (CME2014)
Tool Experience
Programming Language
[Advanced]
C/C++, Python, Bash Script
[Intermediate]
Java
[Basic]
JavaScript
AI-Related Tools
[Advanced]
PyTorch
[Intermediate]
OpenCV, Numpy
[Basic]
Tensorflow, Keras,
Scikit-Learn, Pandas
Others
[Advanced]
Git, Regex
[Intermediate]
Docker, HTML, Android SDK, SQLite
[Basic]
Flask, RESTful API
Technical Sharing
Li-Ren Hou
Love coding, Love sharing knowledge, straightforward and honest
Ability
Computer Vision / Deep Learning / Machine Learning
- Experience in optimizing neural network model latency and power efficiency
- Developing semi-automatic tool to search suitable model configs on MTK chip.
- Familiar with image classification, especially in face-related applications
- Participated international image classification competition - CVPR2020 Face Anti-Spoofing Attack Detection Challenge. Won the 8th place out of 186 contestants.
- Developed 2D/3D face anti-spoofing recognition systems for 2.5y and applied them in access control systems.
- Able to implement DL models from scratch according to papers and approximate the accuracy the papers claimed.
- Experience in building traditional machine learning models on time-series data for biomedical applications.
- [Master Thesis] Built a anomaly detection model to detect abnormal health condition through analyzing physical activities with accelerometer and load cell sensor.
- Master thesis was praised by Golden Smart Home Technology Crop. and transferred the technology to it
- Published a conference paper - "Detection and Assessment of Abnormal Circadian Rhythm by Analyzing Rest/Activity Cycle" to ICME 2014
Programming
- Have solid background in information engineering
- Both university and graduate school majored in Computer Science and Information Engineering
- Won five presidential awards in the university
- Served as a teaching assistant for UNIX system programming course
- Have about 7 years of working experience as a software engineer
- Developed neural network models and inference programs using Python/C++
- Developed Android applications on Zenfone and Zenbo robot using Java/C++
English
- TOEIC 815/990
Work Experience
MediaTek - Senior Software Engineer, 2021.07 - Present (0.6 years)
- AI model co-optimization, profiling and debugging with customers
ChungHwa Telecom Lab - Associate Researcher, 2018.03 - 2021.05 (3.2 years)
- Developed 2D/3D face anti-spoofing recognition models and inference module
ASUS - Sensor Software Engineer, 2014.09 - 2018.03 (3.5 years)
- Got a promotion to senior software engineer after 1.8 years
- Developed Reminder application on ASUS Zenbo robot
- Developed MP3 Tag Editor and FM radio application on Zenfone
- Ported Google Mobile Services (GMS) to different phones
Education
National Taiwan University - Computer Science & Information Engineering, 2011 - 2014
National Sun Yat-Sen University - Computer Science and Engineering, 2007 - 2011
National Tung-Shih Senior High School, 2004 - 2007
AI Competitions and Projects
[Tool Development] Model Config Tuner
- Profile model inferences on MTK chip with different model configs for searching the optimal config
- Main algorithms: Developing
- Key tools: NeuroPilot SDK
[Competition] CVPR 2020 Face Anti-Spoofing Challenge [OfficialWeb] [Code]
- Won the 8th place out of 186 contestants
- Main algorithms: MIMAMO Net, local patches, ensemble learning and cosine annealing
- Key tools: pytorch, opencv and imgaug
[Product Development] 3D Face Anti-Spoofing, 2021
- Reached average accuracy 99.9% in 10.3K test images
- Main algorithms: MobileNetV2, BBox augmentation, Quantization, Cosine Annealing and MTCNN
- Key tools: pytorch, libtorch, tensorflow and opencv
[Product Development] 2D Face Anti-Spoofing, 2018-2021
- Reached TPR=99.7% @ FAR=1.0% in about 400K test images
- Main algorithms: ensemble learning, resnet50, MTCNN
- Key tools: pytorch, libtorch, tensorflow and opencv
[Training Project] Intrusion Detection System, 2018 [Slides]
- Main algorithms: MLP and Autoencoder
- Key tools: keras, pandas, numpy
Reproduced Research
Central Difference Convolutional Network, Sep 2020 - Oct 2020
- Studied source code and reimplement preprocessing for applying to products
- Main algorithms: CDCN++, 3DDFA_v2
- Key tools: pytorch and opencv
- Reference Paper [Link]
Rebroadcast Attack Recognition CNN, Oct 2018 - Feb 2019
- Implemented the model from scratch and successfully approximate the accuracy the papers claimed
- Main algorithms: local patches
- Key tools: tensorflow and opencv
- Reference Paper [Link]
Thesis and Paper
[Master Thesis] Detection and Assessment of Abnormal Health Condition by Analyzing Circadian Rhythm and Physiologic Reserve, July 2014 [Link]
- Proposed a health assessment system, which detects and assess abnormal health condition by using circadian rhythm and physiologic reserves.
- Main algorithms: SVDD
- Key tools: Android SDK, Matlab, libsvm
- Sensors: Wearable accelerometer and load cell
Detection and Assessment of Abnormal Circadian Rhythm by Analyzing Rest/Activity Cycle, June 2014 [Link]
- A rhythm assessment system was proposed to
automatically detect and assesse abnormal circadian rhythm by
analyzing rest/activity cycle.
- Main algorithms: SVDD
- Key tools: Android SDK, Matlab, libsvm
- Sensors: Wearable accelerometer
- Conference: International Conference on Complex Medical Engineering (CME2014)
Tool Experience
Programming Language
[Advanced]
C/C++, Python, Bash Script
[Intermediate]
Java
[Basic]
JavaScript
AI-Related Tools
[Advanced]
PyTorch
[Intermediate]
OpenCV, Numpy
[Basic]
Tensorflow, Keras,
Scikit-Learn, Pandas
Others
[Advanced]
Git, Regex
[Intermediate]
Docker, HTML, Android SDK, SQLite
[Basic]
Flask, RESTful API
Technical Sharing