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4-6 years
6-10 years
10-15 years
More than 15 years
Cloud Services Manager @AIA2021 ~ 2022
・
DevOps Engineer, Site Reliability Engineer
Within one month
P Koteswar Engineering Lead | SRE | DevOps | IaC | Aws | Azure | OpenShift | PostgreSQL | K8s AWS and Azure Certified Professional with 11+ years of Experience. Proven track record in managing complex IT environments across diverse domains for global enterprises. Skilled in driving digital transformation, including cloud migration and DevOps adoption, for IT landscape re-platforming and seamless lift-and-shift operations Vizag, India [email protected] PhLinkedIn Cloud Platform Microsoft Azure Amazon Web Service (AWS) Kubernetes, Redhat OpenShift AliBaba Cloud GCP AZURE: Azure VM, V-Net, Subnet, NSG, ASG, Azure storage,Access Control, Blob, Subscription Administration
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Sikkim Manipal University
・
Information Technology
Past
Senior iOS Developer @Rooit Inc. (XO App)2022 ~ 2023
・
iOS / Backend / DevOps
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
武漢大學
・
中文
Past
Software Engineer @iKala2020 ~ 2023
・
Software Engineer
Within one month
Chiyuang Tseng Chiyuang [email protected] Skills Programming language: Go, Python, C++ Developing tool: Linux, Git, Docker, Kubernetes, Postman Databases: MySQL, Redis, MongoDB, Firestore, BigQuery Cloud: GCP(Kubernetes Engine, BigQuery, CloudSQL, Cloud Storage, Pub/Sub), AWS(SES, SNS) Others: Nginx, ELK stack, RESTful API, Swagger Experience FebDec 2023 Senior Software Engineer, iKala(CDP) OctJan 2023 Software Engineer, iKala(CDP) Designed and implemented an URL shortener for event tracking Designed and implemented IAM module of CDP Responsible for 3rd party API integrations, includes Google Ads, AWS SES&SNS, Newsleopard(email), MAAC(LINE messaging provider), and EVERY8D
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
計算機科學
技術維運部經理 @紅心辣椒娛樂科技股份有限公司(台灣)2008 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
技大學 電機系畢業 (2003年-2004年) 華夏技術學院(五專部) 機械工程科畢業 恆逸資訊 — RHEL 認證課程, CCNA認證課程, CISSP 認證課程, Docker Containers 與 Kubernetes 系統管理 長宏專案 — PMP認證培訓課程 Japanese — 完成 中階 程度實體課程 English — 聽說讀寫皆為中等程度( TOEIC 700分 ) 資格認證 Project Management Professional Project Management
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
台北城市科技大學
・
電機
技術總監 L2 @和雲行動服務股份有限公司 (和泰汽車集團）2022 ~ Present
・
Project Lead / Tech Lead / Team Lead / Senior Engineer
Within one month
江長志 Taichung City, [email protected] https://www.linkedin.com/in/garychiang/ 擁有13年的系統開發經驗，專精於醫院資訊系統（HIS）。擁有在Kubernetes微服務下設計高流量系統的經驗，實現每分鐘處理4000次請求。 具有豐富的團隊領導經驗，與PM、工程師和利害關係人進行跨團
Reputation Credits1
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Asia University / 亞洲大學
・
生物資訊
Senior Software Engineer @集客數據行銷(震豪網路媒體)2023 ~ Present
・
Software Engineer / Backend Engineer
Within two months
reducing manual workload and boosting client efficiency by 15%. Deploy a message broker to handle sudden traffic surges, cutting the request fail rate by 90%, and solving 30% of customer complaints. Fix cross-cloud database issues, enabling the consolidation of two API servers and one load balancer into Kubernetes, which optimizes idle resource usage. Software Engineer • Daione DecDec 2022 | Taipei, Taiwan Led the development of a business marketing matchmaking system from inception to launch, overseeing the architecture and execution of the enterprise side within a year. Collaborated closely with outsourced teams on the KOL side, integrating
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao Tung University
・
Computer ScienceStaff Software Engineer @全得資通有限公司2019 ~ Present
・
Staff software engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
The University of Auckland
・
Computer Science
Past
Mobile App Developer @Apple Inc.2014 ~ Present
・
Lead Infrastructure Engineer
Within two months
Vu Nguyen Ngoc Quang Meticulous and organized professional, driven to surpass expectations in every task I undertake. Proficiency lies in meticulous data analysis, strategic development, and innovative problem-solving. Dedicated to contributing to team success by leveraging my skills and knowledge. With a strong work ethic and adaptability, I excel in problem-solving, service delivery, and time management. Utilize my capabilities effectively in assuming the lead Infrastructure Engineer role and driving excellence within the team. Vietnam Work Experience Mobile App Developer • Apple Inc. MayPresent Developed mobile applications using Swift, Objective-C, React-native, Rust
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
.Net 資深工程師 @澳創科技2022 ~ Present
・
C#.net Development 全端/後端工程師
Within one month
架 前端 HTML / CSS JavaScript Jquery React.js BootStrap 5 Vue 後端 C# .NET Core .NET ASP.NET MVC Java 資料庫 MSSQL MySQL PostgreSQL Redis MongoDB 版控、部屬 GIT Github GitLab Azure CI/CD GCP Jekins Docker kubernetes Linux 開發工具 Visual Studio 2017 Visual Studio 2019 Visual Studio 2022 Visual Studio for mac Visual Studio Code Eclipse 工作經歷 .NET資深工程師 • 澳創科技 十月Present [ Develop］多元網站開發 負責
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
文化大學
Manager @GOMAJI 夠麻吉2017 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
・
Management Information Systems, GeneralThe 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
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