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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Consultant @Startup2023 ~ 2024
・
Pre-sales/PM/Business Consultant/Business Analyst/System Analyst
一個月內
就职中
・
正在积极求职中
全职 / 暂不考虑远端工作
4 到 6 年
Fu Jen Catholic University
・
Brand and Fashion Management就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
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 ~ 现在
・
Account Manager
一個月內
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
就职中
・
正在积极求职中
全职 / 暂不考虑远端工作
4 到 6 年
National Taiwan University
・
Bachelor
曾任
Frontend Engineering Manager, Data Science @Vpon Big Data Group2022 ~ 2023
・
Frontend Engineer, Full Stack Engineer
一個月內
pipeline with Github Actions to enforce Git Flow, ensuring product stability. 5. Utilized Jest, Cypress, and Mocks Server for comprehensive testing, ensuring product stability. Sr. Frontend Engineer, Data Science • Vpon Big Data Group MayFebruary 2022 | Taipei, Taiwan 1. Developed a large-scale data platform with data visualization and segmented downloads from scratch. 2. Utilized deck.gl and vector tiles to accurately present geographical data of millions of travelers online. 3. Developed a React UI Library with tree select, virtual table, and data chart components for large-scale data presentation.
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
YZU University (元智大學)
・
Information Communication
曾任
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
一個月內
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
・
神經科學
曾任
Senior Associate @GreyCampus EduTech2014 ~ 2023
・
Senior Associate
一個月內
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
待业中
・
正在积极求职中
全职 / 暂不考虑远端工作
6 到 10 年
Jyothishmathi institute of technology and science
・
M.Tech(VLSI Desin)
OPC Chief Engineer @TSMC2020 ~ 现在
・
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
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
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
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Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
曾任
Senior Data Analyst @趨勢科技2022 ~ 现在
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
輔仁大學 Fu Jen Catholic University
・
統計資訊學系UI UX Designer | Project Manager @MASU Web Design2016 ~ 现在
・
品牌專案企劃 網路行銷企劃 數位行銷企劃 UI／UX 設計師 專案管理師
半年內
Cinema/Video Studies New York Institute of Technology-Graduate School Communication and Media Studies Yale School of Management-Professional Certificate Behavioral Finance / Financial Markets / Finance /Behavioral Economics Skills: Office 365/Agile Project Management/Product Management/Google Analytics/Adobe Creative Cloud AdWords/Youtube/Communication/UI/UXDesign/Mentoring and Coaching/Asana/Video Production Podcasting/ Blockchain/Business Development/Influencer Marketing/Market Research/Tableau/Data Visualization/NFT/NFT Marketplace/DeFi/DAO/NFT Creators/Bilingual Chinese and English
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
City University of New York-College of Staten Island
・
Film/Cinema/Video Studies最轻量、快速的招募方案，数百家企业的选择
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UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
专业
软体工程师
产业
资讯服务
工作年资
1 到 2 年
管理经历
无
技能
语言能力
English
・
进阶
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北, 台灣新竹
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立清華大學
主修科系
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