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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Data Engineer @TSMC 台積電2022 ~ 现在
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資料分析師、演算法工程師、軟體工程師、軟體專案管理
一個月內
Chun Shan, Wang [email protected] SUMMARY I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions. KEYWORDS: Python, NLP/NLU, Backend, Data, CI/CD, kubernetes, JAVA Spring, EXPERIENCE Data Engineer,now, TSMC I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立中央大學 National Central University
・
網路學習科技研究所
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
into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot , Azure Bot Service, Tableau ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT Research and Work Experience Research Assistant OctPresent Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) National Taiwan University Hospital (NTUH): Focused on
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學（National Chengchi University）
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資訊科學系
曾任
專案行銷企劃 @山海觀國際整合行銷有限公司2023 ~ 2024
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Community Management / Social Media Marketing / Senior Copywriter
一個月內
待业中
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正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
Chung Hua University (CHU) 中華大學
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觀光會議與展覽規劃學位學程
曾任
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
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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
資料庫的data pipeline,以及資料Graph visualization - 利用Graph Neural Network進行初步惡意流量檢測 - 利用Graph Neural Network進行Fake News Detection - 研究可應用於資安領域的DL/ML 模型 中佑資訊有限公司, 深度學習演算法工程師, Mar 2020 ~ Apr 2021 Python/Reinforcement Learning/Data Analysis/SQL - 數據分析:分析與模仿玩家行為、計算遊
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
中國醫藥大學(China Medical University)
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臨床醫學研究所
Data Science Competition Participant @Self-Employed2020 ~ 现在
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資料科學家
一個月內
年約10,000+遊客), 視覺化呈現建築營運 學歷 National University of Singapore Department of building •專攻建築能源和營運的機器學習技術。研究全面涵蓋了應用ML/DL的預測、異常檢測、缺失數據填補和數據生成 - Technical team in Kaggle competition: <ASHRAE - Great Energy Predictor III>近20年最大的建築能源數據競賽, 數據集涵蓋
就学中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National University of Singapore
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Department of building待业中
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正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
明新科技大學
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資訊工程系
資深軟體工程師 @Impakt2021 ~ 2021
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Engineering Manager, App Team Lead, Senior iOS Developer
兩個月內
身愛好者可以隨時加入課程。 整合 Unity 專案到我們用 SwiftUI + TCA ( The Composable Architecture ) 架構開發的專案 整合影像擷取與我們私有的影像分析 ML framework 使用 SwiftUI 開發畫面 設定 MS App Center 與 Apple TestFlight，與處理 code signing 問題 八月六月 2021 資深系統工程師 Verifone 惠爾訊科技 Verifone 深耕電子支付交
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
元智大學
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Computer Science
曾任
FIRST CLASS SECOND ENGINEER @Evergreen Marine Corp2017 ~ 2024
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Chief engineer
一個月內
月Responsible for a group of vessels to be always operational and always in compliance with all certifications from class and flag and other stakeholders. -Responsible for maintaining and updating/optimizing the system after repair and docking. -Responsible for the inspection plan includes Class, statutory inspection, ISM, MLC, IPSP etc. -Responsible for arranging and performing regular ship inspections, maintenance and repairs -Responsible for updating of vessels certificates, plan and order survey etc. -Part of the Company Emergency Team. FIRST CLASS ENGINEER Evergreen Marine Corp • 二月四月To supervise the daily operations and
待业中
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正在积极求职中
全职 / 暂不考虑远端工作
6 到 10 年
國立高雄科技大學 National Kaohsiung University of Science and Technology
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Marine engineering待业中
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正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Shih Hsin University
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Depatment of Information Mangement，Group of Information Technology
Solutions Architect @BORN Group2022 ~ 现在
・
Solutions Architect
兩個月內
the technical aspects of solution design, ensuring the feasibility and efficiency of proposed solutions while utilising my expertise in managing teams. London, GB Skills PHP : CodeIgniter, Laravel, Symfony, Wordpress JavaScript : Angular, React, Next.js, TypeScript, Node.js Databases : MySQL, PostgreSQL, MongoDB Java : Spring, Maven, Freemarker AI/ML : YOLO, GPT-4, OpenAI, Keras Shell Scripting : Python, Perl, Ruby Web : CSS, HTML, SEO Web Services : SOAP, XML-RPC, REST Version Control : Git, SVN, CVS CI/CD : Jenkins Other : Adobe Commerce (Magento), Adobe App Builder, Adobe Experience Manager (AEM), Adobe Creative Suite Google Tag Manager (GTM) Google Analytics
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
15 年以上
Darrick Wood Secondary School
・
A-Levels最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
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