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4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
Past
Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所,研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題,擁有多項產學合作的專案開發經驗,亦在電腦視覺領域中發表過多篇學術論文,主要研究主題包含物
Machine Learning
Computer Vision
Pytorch/Tensorflow
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
資訊工程
Avatar of 邱義塵.
Avatar of 邱義塵.
Past
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
識 - 自動辨識試片有無檢體、PH試紙有無使用 - 儀器晃動偵測 技能 - Python(4年) - Data Analysis - Business Analyst - Recommend System - Tableau - Bigquery - DL/ML/RL - MongoDB - Neo4j - Geometrics of Deep Learning - Software Develop - Computer vision 學歷 中國醫藥大學(China Medical University), 碩士學位, 臨床醫學研究所, 2012 ~ 2017 中國醫藥大學(China Medical University), 學士學位, 生物醫學影像暨放射科學
Python
Data Analysis
Data Science
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of 陳勤霖.
Avatar of 陳勤霖.
Past
博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
陳勤霖 神經工程博士背景的數據分析師 Ph.D. in Neuroscience from Neuroengineering lab I have 5 years of hands-on experience in image and data analysis with biotechnology innovation projects. Dependable ability in managing collaborative projects to success. Business-driven motivation to apply analytic skills to optimize the product and its development procedure. https://chinlinchen1312.wixsite.com/chin-lin-chen 工作經歷 一月十二月 2023 博士後研究員 洛桑大
Data Science
Data Analysis
Machine Learning
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of 曾文鍾.
Avatar of 曾文鍾.
技術部門經理 @沛鑫包裝科技
2018 ~ Present
R & D technologist/program manager
Within one month
曾文鍾 研發主管 | 專注於工業自動化與智慧製造領域的技術變革 新竹,TW • [email protected] 摘要 具有豐富現場實務經驗的 研發主管 ,專注於 工業自動化與智慧製造 領域,著墨於電腦視覺與深度學習。在過去的工作中,成功領導多個創新專案,通過
Computer Vision
c#
Automation
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中興大學
機械
Avatar of Yi Ling.
Avatar of Yi Ling.
Team Lead @工業技術研究院
2020 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
示獎present 軟體工程師 • 工業技術研究院 (ITRI) 影像AI感測技術 應用領域: 自駕車 / 駕駛輔助系統 / 其他感知應用 研發領域: Image processing, Computer vision, Deep learning 平台工具: 程式語言: C++, Python 作業系統: Ubuntu 版本管控: git 機器人通訊API: ROS 電腦視覺API: OpenCV, Yolo, Nvidia TensorRT 工作內容: 技術研發
C++
Python
Deep Learning
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
資訊工程學所
Avatar of 李昀庭.
Avatar of 李昀庭.
AI Engineer @Playsee
2022 ~ Present
資料分析師、資料科學家、產品經理
Within one month
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Python
Project Management
Strategic Thinking
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
心理所(認知科學所)
Avatar of the user.
Avatar of the user.
Director of software R&D department @Phrozen Inc.
2024 ~ Present
Software Engineer
Within one month
C++ and C
Python
OpenCV
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Georgia Institute of Technology
Doctor of Philosophy in Structural Engineering
Avatar of the user.
Avatar of the user.
Data Analyst & IoT Software Developer @FARAZ ERTEBAT
2021 ~ Present
Computer Vision / Deep Learning
Within one month
C#
C/C++
MySQL
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
Information Technology | Face Recognition
Avatar of the user.
Avatar of the user.
Senior Backend Engineer/Machine Learning Engineer @Calyx Inc.
2022 ~ Present
後端工程師/系統架構師/機器學習工程師
Within one month
Fortran
JavaScript
vue.js
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺灣師範大學
地球科學/大氣組
Avatar of Hari Achmad.
Avatar of Hari Achmad.
SUPERVISOR AREA & DATA ANALYST @PT.MIMOSA TARTE
2021 ~ Present
Area Sales Supervisor / Back End Developer
Within one month
informasi anggaran. Menetapkan sasaran kinerja yang sesuai dengan rencana dan visi organisasi. Mencapai Target Perusahaan Dengan segala daya dan Upaya IT FREELANCER Upwork as a Freelancer SeptemberPresent Bandung, Indonesia Menyelesaikan Project Costumer di Bidang IT : - Komputer Jaringan = IOT (Internet Of Things) - Machine Learning dan Deep Learning with Keras - Computer Vision With Yolo - Web Development (PHP,CSS, Html, JS) - Database dengan Mysql, Sql Server - Restful API - Flutter Mobile Apps - Desktop Apps dengan Visual Basic.Net MANAGER AREA PT. Indomarco Prismatama OktoberAgustus 2021 Bandung, Indonesia Menetapkan target penjualan secara kuantitatif dan kualitatif untuk timnya berdasarkan analisis pasar dan
Microsoft Office
Internet of things
Tableau Visualizations
Employed
Open to opportunities
Full-time / Not interested in working remotely
6-10 years
Politeknik Piksi Ganesha Bandung
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Technical Skills
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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
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Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
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Within one month
Senior Software Engineer
Logo of Synopsys.
Synopsys
2022 ~ Present
台灣新竹
Professional Background
Current status
Employed
Job Search Progress
Professions
Software Engineer
Fields of Employment
Information Services
Work experience
1-2 years
Management
None
Skills
C
C++
Golang
Kubernetes
Docker
Distributed Systems
Machine Learning
Deep Learning
Tensorflow
Keras
Parallel Computing
CUDA
Compiler
Algorithm
Cloud Computing
Languages
English
Fluent
Job search preferences
Positions
Software Engineer
Job types
Full-time
Locations
台灣台北, 台灣新竹
Remote
Interested in working remotely
Freelance
No
Educations
School
國立清華大學
Major
Computer Science
Print

Experience

Synopsys Inc.

Jan. 2022 - Present

Senior Software Engineer

VCS - Verilog Compile Simulator

C++, C, Compiler Optimization, Parallel Computing, Python

  • Developed and supported debug functionality for SystemVerilog compile simulator
  • Parallelized design traversal in FSDB waveform dumping, speeding up runtime by 3x with multithreading
  • Optimized FSDB gate-data loading and reduced 10-60% runtime memory footprint, benefiting customers running hundreds-of-GB designs with tight memory budgets
  • Initiated a project to migrate STL hash tables to Abseil Swiss tables for a millions-line code base, reducing up to 70% peak memory usage and speeding up hash table queries by 100%
  • Debugged and resolved urgent customer issues in tight timelines (< 1 day TAT) with limited information, tools, and access to the environment

MediaTek Inc.

July 2020 - Aug. 2020

Software Engineer Intern

C, Python, Machine Learning

  • Designed memory management algorithm & firmware for real-time embedded system
  • Introduced machine learning and data visualization to automate issue analysis, saving 90% of human effort

Projects

Voda Scheduler

Feb. 2021 - Nov. 2022

 https://github.com/heyfey/vodascheduler  

(30+ stars)

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster 

Golang, Python, Distributed Systems

  • Architected and built a GPU scheduler using microservices architecture on top of Kubernetes and various open-source projects
  • Sped up overall training time by 2.38x and increased cluster utilization by 1.4x with
    • State-of-the-art scheduling algorithms with resource elasticity
    • Topology-aware scheduling & worker migration to consolidate resources
  • Designed and implemented heterogeneous scheduling, auto-scaling, and fault-tolerant mechanisms for the system

Publication

Tsung-Tso Hsieh, Che-Rung Lee: "Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters", in IEEE International Conference on Cloud Engineering (IC2E), 2023

Education

National Tsing Hua University

Computer Science, M.S.

SCOPE Lab (Scientific Computing On Parallel Environment)

2019 - 2021

National Tsing Hua University

Double Major in Law and Computer Science, B.S.

2014 - 2018

Resume
Profile

Experience

Synopsys Inc.

Jan. 2022 - Present

Senior Software Engineer

VCS - Verilog Compile Simulator

C++, C, Compiler Optimization, Parallel Computing, Python

  • Developed and supported debug functionality for SystemVerilog compile simulator
  • Parallelized design traversal in FSDB waveform dumping, speeding up runtime by 3x with multithreading
  • Optimized FSDB gate-data loading and reduced 10-60% runtime memory footprint, benefiting customers running hundreds-of-GB designs with tight memory budgets
  • Initiated a project to migrate STL hash tables to Abseil Swiss tables for a millions-line code base, reducing up to 70% peak memory usage and speeding up hash table queries by 100%
  • Debugged and resolved urgent customer issues in tight timelines (< 1 day TAT) with limited information, tools, and access to the environment

MediaTek Inc.

July 2020 - Aug. 2020

Software Engineer Intern

C, Python, Machine Learning

  • Designed memory management algorithm & firmware for real-time embedded system
  • Introduced machine learning and data visualization to automate issue analysis, saving 90% of human effort

Projects

Voda Scheduler

Feb. 2021 - Nov. 2022

 https://github.com/heyfey/vodascheduler  

(30+ stars)

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster 

Golang, Python, Distributed Systems

  • Architected and built a GPU scheduler using microservices architecture on top of Kubernetes and various open-source projects
  • Sped up overall training time by 2.38x and increased cluster utilization by 1.4x with
    • State-of-the-art scheduling algorithms with resource elasticity
    • Topology-aware scheduling & worker migration to consolidate resources
  • Designed and implemented heterogeneous scheduling, auto-scaling, and fault-tolerant mechanisms for the system

Publication

Tsung-Tso Hsieh, Che-Rung Lee: "Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters", in IEEE International Conference on Cloud Engineering (IC2E), 2023

Education

National Tsing Hua University

Computer Science, M.S.

SCOPE Lab (Scientific Computing On Parallel Environment)

2019 - 2021

National Tsing Hua University

Double Major in Law and Computer Science, B.S.

2014 - 2018