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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
National Taiwan University
Senior Front-End Engineer @TonFura2023 ~ 現在
・
Front-End engineer / Full-stack engineer
一個月內
various devices. Achieved over 80% unit testing coverage to enhance code reliability and maintainability. Provided valuable feedback to project management and UI design teams for continuous improvement of user experience. Orchestrated the migration of web applications to a monorepo architecture to adapt to a microservices approach, ensuring scalability and modularity. Role: Lead developer Stacks: Turborepo, Next.js, React, TypeScript, Tailwind CSS, CSS Modules, Material UI, Highcharts, Jest and GraphQL Single-handedly led the development of the Tonfura SDK package, recognized as the pinnacle of TypeScript SDKs for seamless interaction with the TON blockchain. This
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
Computer Science and Information Engineering
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
Computer Science
曾任
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
一個月內
at peak. The data inserted into BigQuery was: Table size:GB Number of rows: 6,268,519,176 Qudowe Project Lead & Software Engineer Product of Pixnet Travel Hackathon 2019, a trip planner based on Instagram's data Work Experience Vpon, Data Engineer Aug 2018 ~ Oct 2020 Implement Akka-http(Scala) server endpoints for Vpon Data Platform Product Create new ETL pipelines using GCP Spark(Apache Spark) and GCP Dataflow(Apache Beam) to batch input/output hundreds of files Migrate existing ETL pipelines from AWS(Hive SQL) to GCP(BigQuery SQL) using python Migrate datawarehouse from AWS(Hive) to
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
電機工程學系
Engineer II @SiFive2022 ~ 現在
・
一個月內
stressing for all the units/modules of core IPs Design and implement self-checking routines in the midst of every test programs Triage hardware design errors and revise the methodology of verification Sr. Embedded Software Engineer Phison Electronics Corps. MarAugNew Taipei, Taiwan Design and develop stable and scalable HAL APIs for high level software development on PCIe 4.0 enterprise SSD Introduce GitLab CI/CD automation to monitor and verify the stability and correctness of the software on the SSD Design test plans and implement test procedures to verify the correctness of clocks and hardware
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Mechanical Engineering
Principal Engineer, Data Engineering @KKCompany2023 ~ 現在
・
Backend Engineer, Data Engineer, MLOps Engineer
一個月內
Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
10 到 15 年
National Taiwan University
・
EMBA Programs, Business Administration, Accounting, Finance and International Business.
離線
離線
Software Engineer @SmartNews2019 ~ 現在
・
數據分析 / 資料工程
一個月內
Connor Hsu Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest. [email protected] Summary 9 years experience of large scale AI product building, and is capable of building product from scratch. Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning. A well-rounded engineer in data project who bridges the gap between scientists and engineers. A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Computer Science就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
6 到 10 年
National Taiwan University
・
Master degree Computer Science
Backend Engineer @Cooby2022 ~ 2023
・
一個月內
www.linkedin.com/in/conrad-lana4/ ▶ three+ years of backend engineer in python/golang 工作經歷 Backend Engineer • Cooby 四月八月 2023 | Taipei, Taiwan I am a backend engineer with a track record of designing and implementing robust, scalable, and cost-effective infrastructure solutions for web applications. My core competencies include: - AWS Infrastructure: Successfully migrated the Cooby backend infrastructure from Heroku to AWS, establishing a unified management system using Terraform for streamlined administration. Designed a highly available and scalable architecture utilizing AWS ECS to ensure optimal
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Communication EngineeringCEO @Pelith2021 ~ 現在
・
一年內
就職中
・
目前沒有興趣尋找新的機會
6 到 10 年
National Taiwan University
・
Network and Multimedia (CS)
Frontend Engineer @Web3 DeFi protocol2022 ~ 現在
・
Front-End Engineer 網頁前端工程師
一年內
experience, I have a strong background in developing and maintaining web projects using the React.js ecosystem, including technologies such as React, React Hooks, Redux, React-Saga, Next.js, and GraphQL. I have also worked with Material UI, Chakra UI, webpack and SASS to create optimized and scalable applications. In addition to my expertise in React, I have also gained experience with the Vue.js ecosystem, including tools such as Vuex, Vue-Router, and Vuetify. I am comfortable working with both frameworks and have used them to deliver successful projects in the past.
就職中
全職 / 我只想遠端工作
4 到 6 年
National Taiwan University
・
Geography最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
目前沒有興趣尋找新的機會
專業
產業
工作年資
4 到 6 年
管理經歷
技能
語言能力
Chinese
・
母語或雙語
English
・
專業
Japanese
・
中階
求職偏好
希望獲得的職位
數據分析 / 資料工程
預期工作模式
全職
期望的工作地點
Japan, Taiwan
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
National Taiwan University
主修科系
Computer Science
Connor Hsu
Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest.
Summary
- 9 years experience of large scale AI product building, and is capable of building product from scratch.
- Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning.
- A well-rounded engineer in data project who bridges the gap between scientists and engineers.
- A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release management.
- Leader of documentation and process, mentor of junior engineers.
- Product-driven mindset, learning new tech. and use them to build side projects continuously (chatbot, blockchain, ..., etc.)
Expertise fields:
- ML Ops / Data Engineering: This is my strength.
- Data Science/Modeling: Not using the cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree).
Experience
Data Infra Engineer, Moneytree, Nov. 2020 - present (~3y)
Senior Software Engineer I, Nov. 2023 ~
Software Engineer II, ~ Nov. 2023
Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)
Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)
Senior Engineer II, ~ Jul. 2019
Software Engineer, Jun. 2014 - 2018
Start
Education
National Taiwan University, Taiwan, Sep 2009 - Jun 2011
M.S., Department of Computer Science and Information Engineering
National Chiao Tung University, Taiwan, Sep 2005 - Jun 2009
B.S., Department of Computer Science
Skills
Data Lake/Warehousing: Python, Spark, Scala, Airflow, Presto | Streaming: Kafka, Flink
Machine Learning: Scikit learn, Tensorflow (side project), TensorFlow Serving
AWS Cloud Services: EC2/ECS/ECR/Lambda, EMR (Hive), RDS, DynamoDB, ElastiCache (Redis), Athena, SNS, SQS, Glue, SageMaker, CloudFormation/CDK.
API Services: FastAPI, Flask, Django, Swagger/Flasgger | CI/CD: Jenkins/CircleCI/TravisCI, Ansible
Human Languages: English: Business Level | Japanese: Conversational | Mandarin: Native
Selected Projects
Ad Product Technical Debt Burn Down '18Q4
- Co-work with scientists to migrate an legacy machine learning project from python2 to python3
- Design, burn down and implement new log patch framework to secure safe patch behavior, also enable abstraction on log patch mechanism.
Data Governance '18Q2 ~
Form a Data Governance committee with tech leads to consistently improve data quality and availability.The missions are: schema evolving, legacy deprecation and data platform migration planning.
Automatical Refund System '17Q2 ~ '18Q2
Saved more than 10 millions TWD dollars for our business as well as tremendous human effort, milestones include:
- Automate process to save support team and CM team's human effort (17'Q2)
- Eliminate major data discrepancy (17'Q3)
- Support various timezones, formats and make debug efficient. (17'Q4)
- Different dimension breakdown and co-work with F2E to build a new UI (18'Q1)
Pipeline Reconstruction and Migration '17Q2 ~ '17Q3
- Reconstruct ad-hoc pipeline and improve it by applying unit test, migrating DB, code-refactoring, and migrating to Jenkins.
- Co-work with team members to migrate critical production pipelines to Airflow, till 2019Q1, more than 20 data pipelines are operated by Airflow.
Improve ML Model Performance '16Q2
- Improve high quality inventory discovery by embedding inventory as vector: precision achieve 79% from 5.3%, volume increased to 12.8x
- Extend CPA model to different ads vertical: CPA reduced to 68%, volume increased to 2.4x
Learning & Sharing
Side Projects: I build side project in my leisure time, one of them is a chatbot which is cross platform on Line, Telegram, Discord and Twitch. I always introduce new tech. like ML, CI/CD in this project as my daily life.
I also like writing, I own a blog and here is one of my post: My Machine Learning Engineering in Appier
Publications
Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction
- We present a scalable mobile video recognition system, named “Me-link,” based on progressive fusion of light-weight audio visual features. -- 23rd International World Wide Web Conference (WWW 2014)
Connor Hsu
Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest.
Summary
- 9 years experience of large scale AI product building, and is capable of building product from scratch.
- Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning.
- A well-rounded engineer in data project who bridges the gap between scientists and engineers.
- A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release management.
- Leader of documentation and process, mentor of junior engineers.
- Product-driven mindset, learning new tech. and use them to build side projects continuously (chatbot, blockchain, ..., etc.)
Expertise fields:
- ML Ops / Data Engineering: This is my strength.
- Data Science/Modeling: Not using the cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree).
Experience
Data Infra Engineer, Moneytree, Nov. 2020 - present (~3y)
Senior Software Engineer I, Nov. 2023 ~
Software Engineer II, ~ Nov. 2023
Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)
Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)
Senior Engineer II, ~ Jul. 2019
Software Engineer, Jun. 2014 - 2018
Start
Education
National Taiwan University, Taiwan, Sep 2009 - Jun 2011
M.S., Department of Computer Science and Information Engineering
National Chiao Tung University, Taiwan, Sep 2005 - Jun 2009
B.S., Department of Computer Science
Skills
Data Lake/Warehousing: Python, Spark, Scala, Airflow, Presto | Streaming: Kafka, Flink
Machine Learning: Scikit learn, Tensorflow (side project), TensorFlow Serving
AWS Cloud Services: EC2/ECS/ECR/Lambda, EMR (Hive), RDS, DynamoDB, ElastiCache (Redis), Athena, SNS, SQS, Glue, SageMaker, CloudFormation/CDK.
API Services: FastAPI, Flask, Django, Swagger/Flasgger | CI/CD: Jenkins/CircleCI/TravisCI, Ansible
Human Languages: English: Business Level | Japanese: Conversational | Mandarin: Native
Selected Projects
Ad Product Technical Debt Burn Down '18Q4
- Co-work with scientists to migrate an legacy machine learning project from python2 to python3
- Design, burn down and implement new log patch framework to secure safe patch behavior, also enable abstraction on log patch mechanism.
Data Governance '18Q2 ~
Form a Data Governance committee with tech leads to consistently improve data quality and availability.The missions are: schema evolving, legacy deprecation and data platform migration planning.
Automatical Refund System '17Q2 ~ '18Q2
Saved more than 10 millions TWD dollars for our business as well as tremendous human effort, milestones include:
- Automate process to save support team and CM team's human effort (17'Q2)
- Eliminate major data discrepancy (17'Q3)
- Support various timezones, formats and make debug efficient. (17'Q4)
- Different dimension breakdown and co-work with F2E to build a new UI (18'Q1)
Pipeline Reconstruction and Migration '17Q2 ~ '17Q3
- Reconstruct ad-hoc pipeline and improve it by applying unit test, migrating DB, code-refactoring, and migrating to Jenkins.
- Co-work with team members to migrate critical production pipelines to Airflow, till 2019Q1, more than 20 data pipelines are operated by Airflow.
Improve ML Model Performance '16Q2
- Improve high quality inventory discovery by embedding inventory as vector: precision achieve 79% from 5.3%, volume increased to 12.8x
- Extend CPA model to different ads vertical: CPA reduced to 68%, volume increased to 2.4x
Learning & Sharing
Side Projects: I build side project in my leisure time, one of them is a chatbot which is cross platform on Line, Telegram, Discord and Twitch. I always introduce new tech. like ML, CI/CD in this project as my daily life.
I also like writing, I own a blog and here is one of my post: My Machine Learning Engineering in Appier
Publications
Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction
- We present a scalable mobile video recognition system, named “Me-link,” based on progressive fusion of light-weight audio visual features. -- 23rd International World Wide Web Conference (WWW 2014)