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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
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曾任
資深軟體工程師 @合創數位科技股份有限公司
2023 ~ 2024
資深 PHP 後端工程師
一個月內
PHP
PHP Laravel Framework
PHP CodeIgniter
待業中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
清雲科技大學
資訊工程
Avatar of Kang Min Wang.
Avatar of Kang Min Wang.
Principal software engineer @Dell Technologies Inc.
2022 ~ 現在
Senior Software Engineer
一個月內
/iPXE - Performance viewer Web/Python - HA regression test for ZFS Python Advisory Firmware Engineer Etron Technology SepMar 2014 Hsinchu, Taiwan NAND Flash Controller Firmware 1/2/4 channel controller - NAND flash support - Performance turning Mess Production Software - Production environment testing - Turning production speed - NAND flash support USB3.0 Controller Firmware - Operation system compatibility - USB-IF certification - Mess storage device simulated to CD/DVD - Multipute LUN 學歷I-Shou University Master's Degree , Information EngineeringI-Shou University Bachelor's Degree , Information Engineering Skills C++11 Python C99 Linux Language English — Middle Chinese
C++11
Python
C99
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
I-Shou University
Master's Degree , Information Engineering
Avatar of Clyde Wu.
Avatar of Clyde Wu.
Backend Engineer @BTQ
2022 ~ 現在
後端工程師
一個月內
Clyde Wu Backend Lead Specialized in Software Engineering and Software Development. 10y+ Python 3y+ C/C++11 2y+ golang Quality Oriented, Technology Enthusiasts, Hacker Culture, Linux Daily User Taipei, 台灣 工作經歷 Backend Engineer • BTQ * Develop blockchain explorer (Golang/Gin/ECS) * Develop Post-Quantum cryptography SaaS (AWS Lambda/DynamoDB/Batch/VPC) 十一月Present Lead Engineer • CRUISYS * Develop Backend API for multiple vehicle retailers, e.g. Mercedes Benz, BMW, Audi, Volkswagen, Porsche (Python/Flask/MongoDB) * Refactory legacy 20k loc with
System Analysis & Design
Software Engineering
Image Recognition
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
10 到 15 年
NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY
Master of Computer Science/Program of Software Engineering
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C++ 開發工程師 @TREVI 特雷維科技
2023 ~ 現在
C/C++ Software Engineer
一個月內
HAProxy
SVN/Git
Boost C++
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
國立高雄科技大學(原國立高雄第一科技大學)
電子工程所
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Avatar of Vladimir Chikishev.
Full stack C++ network developer @Anuvu
2023 ~ 現在
Developer
一個月內
Vladimir Chikishev Experienced professional backend developer specializing in the creation of cross-platform applications from conceptualization and architecture to production. With over 5 years of expertise, my strong foundation in data structures, mathematics, and system design aligns seamlessly with my proficiency in C/C++. Additionally, I've utilized Java, JS, and Python in various projects. I have a keen interest in microservice architecture, multithreading, and game engine development. Well-versed in object-oriented programming, SQL database engines, CI/CD, and version control systems. My goal is to contribute to a company
Microservice Architecture
Java: Spring
C/C++(11
就職中
全職 / 對遠端工作有興趣
4 到 6 年
South Ural State University
Data protection and cryptography
Avatar of Dennis Lee.
Avatar of Dennis Lee.
Software Engineer @ASUS
2012 ~ 2015
Sr. Software Engineer
一年內
— Dennis Lee I like to cooperate with people love coding. Taipei City, Taiwan 工作經歷 八月Present Staff Software Engineer Trend Micro *Developed Web anti-virus security with Java 8 Spring Boot, Spring Cloud and AWS. *Developed an antivirus scanning engine for Windows, Linux and AGL(Automotive Grade Linux) platforms with C++14, QT. *Designed a new server and client communication process to extend the product capability on connecting instances from 70K to 7 million, including coding, integrating, testing and monitoring. *Discussed and plan for the quarterly and yearly goals
Java
Spring Boot
AWS
就職中
全職 / 對遠端工作有興趣
10 到 15 年
國立清華大學
Computer Science
Avatar of 周世邦.
Avatar of 周世邦.
工程師 @京晨科技有限公司
2016 ~ 2019
Software Engineer / Backend Engineer
超過一年
CTP(Software Testing Factory–Cloud Testing Platform). STF-CTP primarily provide developers of Android applications with services involving numerous automated unit tests and acceptance tests. Design " A Master/Slave Architecture for Extending the Number of ADB Connections Using USB ports " to improve testing performance(master's thesis). Bachelor's degree, Computer Science and Information Engineering,JulMar 2013 Yuan Ze University Programming Golang, C/C++11 DevOps Tool Docker, docker-compose, Jenkins, Jenkinsfile, Elasticsearch, Logstash, Kibana Frameworks and Protocol Protobuf, gRPC, WebRTC, WebSocket, TCP/IP, SOAP, SIP, ONVIF, RTSP, RTMP Databases OracleDB, Redis
c++ programming
Design Patterns
Git
全職 / 對遠端工作有興趣
4 到 6 年
台北科技大學
Software Engineer
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Backend Engineer @Thingnario
2021 ~ 現在
軟體工程師
一年內
C++11
C++
Boost C++
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 Sun Yat-sen University
Computer Science and Engineering
Avatar of Kun-Che Hsu.
Avatar of Kun-Che Hsu.
Senior Software Engineer @TrendMicro
2019 ~ 現在
Senior Backend Engineer
超過一年
Hsu KunChe I have a professional experience with building sophisticated services and platforms in financial area. I have developed and enhanced many large-scale services for over four years. : [email protected]  : Senior Software Engineer Taipei, Taiwan Skills Programming Language Proficient with C++, familiar with advanced skills, C++ 11, 14, 17, generic programming, etc Proficient with C#, ASP.NET MVC, ASP.NET Web API Basic JavaScript, ES6, HTML, CSS DevOps Skills Scripting Powershell Bash Version Control Git Perforce Continuous Integration (CI) Github Action Jenkins Azure DevOps Configuration Management Ansible
C++
C#.NET development
Server Side
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University of Science and Technology
Electronic and Computer Engineer

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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。
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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。
半年內
Machine Learning Engineer / Orchestra Conductor
Logo of Binflux Inc..
Binflux Inc.
2021 ~ 現在
台灣新北市
專業背景
目前狀態
就職中
求職階段
專業
軟體工程師
產業
軟體
工作年資
2 到 4 年
管理經歷
我有管理 5~10 人的經驗
技能
Python
語言能力
求職偏好
希望獲得的職位
大數據分析,資料科學家,資料工程師,AI工程師
預期工作模式
全職
期望的工作地點
台灣台北
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
null
列印

黃鈺倫|Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience



Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project


E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education



Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration

履歷
個人檔案

黃鈺倫|Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience



Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project


E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education



Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration