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4-6 years
6-10 years
10-15 years
More than 15 years
Consultant @Startup2023 ~ 2024
・
Pre-sales/PM/Business Consultant/Business Analyst/System Analyst
Within one month
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
Fu Jen Catholic University
・
Brand and Fashion ManagementEmployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中正大學
・
資訊工程學系
Media Planning Assistant Manager @DAC_台灣迪艾思股份有限公司2023 ~ Present
・
Account Manager
Within one month
coordinating KOL collaborations, advertorials, TV program placements, and paid advertising(FB, Google Ads, Taboola, LINE LAP). AprDec 2022 Senior Account Executive D.A.Consortium Inc. Client service, media planning, and account management. Cross-functional communication for performance control. (Facebook, Google, Yahoo) Performance reporting including data visualization and data-driven proposals. Maintained an average monthly media spend exceeding 6 million throughout% of YoY revenue growth in 2020, and 19% of YoY revenue growth inDecApr 2020 Scheduling Operator FOX Networks Group Asia Responsible for daily program broadcast log creation, integrating program content, promotional resources, and
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
National Taiwan University
・
Bachelor
Past
Frontend Engineering Manager, Data Science @Vpon Big Data Group2022 ~ 2023
・
Frontend Engineer, Full Stack Engineer
Within one month
to system planning and front-end architecture decisions for security, stability, and scalability. 5. Implemented Git Flow and Github Actions for efficient team collaboration. 6. Wrote unit tests, E2E tests using Jest, Cypress, and Mocks Server for code and system stability. Sr. Frontend Engineer, Data Science • Vpon Big Data Group MayFebruary 2022 | Taipei, Taiwan 1. U sing React and TypeScript to build a large-scale data platform, featuring data visualizations and audience segments. 2. Using deck.gl and vector tiles to build geo data visualizations, with loading times under 1s
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
YZU University (元智大學)
・
Information Communication
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
學腦科學實驗室 1. 神經電生理訊號分析、神經細胞追蹤分析，與藥理試驗。 2. 研究論文撰寫與國際研討會的舉辦。 技能 Data Science Data Analysis, Image Analysis, Machine Learning, Deep Learning, Statistical Analysis, Data visualization Programming Python, PyTorch, NumPy, Pandas, Matplotlib, Scikit-Learn, Git, PostgreSQL, Docker Biotechnology Neuroscience, Genetics, Imaging, Scientific Writing Soft skill Project Management, Probelm Solving, Team Player, Proactive Communication 語言 English — 專業 Chinese — 母語或
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
Past
Senior Associate @GreyCampus EduTech2014 ~ 2023
・
Senior Associate
Within one month
and developed analytical data structures to support business intelligence and reporting needs. Managed and maintained critical databases to ensure data integrity, availability, and security. Diagnosed and resolved complex system issues using SQL Profiler, improving problem resolution times. Conducted regular database backups and implemented recovery processes to prevent data loss and ensure business continuity. Collaborated with cross-functional teams to integrate database functionality into web applications and portals. Created web-based dashboards and reporting tools for data visualization, aiding decision-making processes. Provided expert consultation on database design, optimization, and troubleshooting. Documented analysis results
Unemployed
・
Ready to interview
Full-time / Not interested in working remotely
6-10 years
Jyothishmathi institute of technology and science
・
M.Tech(VLSI Desin)
OPC Chief Engineer @TSMC2020 ~ 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
and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical EngineeringProduct Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
Past
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Cathy Chen Sr. Data Analyst Senior data analyst with over 6 years experience in ETL, data visualization, exploratory data analysis, machine learning, deep learning, customized online dashboard using SQL , R , Python and data analytics tools. Data Scientist, Data Analyst Taipei, Taiwan [email protected] Experience Sr. Data Analyst • TrendMicro NovNow Work with cross-functional teams(UI/UX designer, Front-end, Back-end, Marketing, PM, Sales) to provide related data, design metrics, report and dashboard. Cross app data tracking and user journey analysis. VisionOne customers engagement score - the metrics can help fields to
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Past
Industrial Engineer @鴻海精密工業股份有限公司2019 ~ 2023
・
Data Analyst 數據分析師 / Data Scientist 資料科學家
Within one month
吳俊瑩 Dani el 資料科學家/ AI專案管理/ IE工程師 ·4年網通智能製造經驗，負責工業4.0數位轉型專案 ·統計背景、對數字高度敏銳，能夠有效運用數據 ·思緒縝密、規劃能力強，領導團隊朝目標推進 ·積極主動、學習能力佳，持續吸收新知識 danielwu0221@protonmail
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北大學 National Taipei University
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Professional Background
Current status
Employed
Job Search Progress
Professions
Software Engineer
Fields of Employment
Information Services
Work experience
1-2 years
Management
None
Skills
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
謝宗佐 (Tsung-Tso Hsieh)
[email protected] https://github.com/heyfey https://www.linkedin.com/in/tthsieh
(+886)975-923-670
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
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
謝宗佐 (Tsung-Tso Hsieh)
[email protected] https://github.com/heyfey https://www.linkedin.com/in/tthsieh
(+886)975-923-670
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
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