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De 4 a 6 años
6-10 años
10-15 años
Más de 15 años
National Taiwan University
Senior Front-End Engineer @TonFura2023 ~ Presente
・
Front-End engineer / Full-stack engineer
En un mes
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
Empleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan University
・
Computer Science and Information Engineering
Controls/Software Engineer @CYTENA BPS2022 ~ Presente
・
Software Engineer / Backend Engineer
En un mes
Empleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan University
・
Computer Science
Past
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
En un mes
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
Desempleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Taiwan University
・
電機工程學系
Engineer II @SiFive2022 ~ Presente
・
En un mes
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
Empleado
・
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Taiwan University
・
Mechanical Engineering
Principal Engineer, Data Engineering @KKCompany2023 ~ Presente
・
Backend Engineer, Data Engineer, MLOps Engineer
En un mes
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
Empleado
・
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
10-15 años
National Taiwan University
・
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Fuera de línea
Fuera de línea
Software Engineer @SmartNews2019 ~ Presente
・
數據分析 / 資料工程
En un mes
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
Empleado
・
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Taiwan University
・
Computer ScienceMobile Architect @Rakuten2019 ~ Presente
・
Senior Android Engineer
En un mes
Empleado
・
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan University
・
Master degree Computer Science
Backend Engineer @Cooby2022 ~ 2023
・
En un mes
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
Empleado
・
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Taiwan University
・
Communication EngineeringCEO @Pelith2021 ~ Presente
・
En un año
Empleado
・
No está abierto a oportunidades
6-10 años
National Taiwan University
・
Network and Multimedia (CS)
Frontend Engineer @Web3 DeFi protocol2022 ~ Presente
・
Front-End Engineer 網頁前端工程師
En un año
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.
Empleado
A tiempo completo / Sólo a distancia
De 4 a 6 años
National Taiwan University
・
GeographyEl plan de reclutamiento más ligero y eficaz
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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
Situación actual
Empleado
Progreso en la búsqueda de empleo
No está abierto a oportunidades
Professions
Fields of Employment
Experiencia laboral
De 4 a 6 años
Management
Habilidades
Idiomas
Chinese
・
Nativo o bilingüe
English
・
Profesional
Japanese
・
Intermedio
Job search preferences
Posición
數據分析 / 資料工程
Tipo de trabajo
A tiempo completo
Ubicación
Japan, Taiwan
A distancia
Interesado en trabajar a distancia
Freelance
Educación
Escuela
National Taiwan University
Mayor
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)