Yen-Kuang Chen (Sam Chen)

Back-end Software Engineer | Proven Tech Lead | Driving Innovation & Impact

Contact: [email protected], +886910728103,  

Experienced tech lead with a strong background in full-stack development and team management. Adept at fostering collaboration, driving innovation, and delivering projects on time and within budget. Seeking a leadership role where I can inspire and empower teams to achieve their full potential.


Side Project

Project Name: 節食 (S.D.) - A Mobile App Promoting Seasonal and Local Eating

  • Project Highlights:
    • Independent Full-Stack Development:  Solely designed and developed a mobile app promoting sustainable eating habits, from concept to App Store launch.
    • Technical Expertise:  Utilized a microservices architecture with Go, PostgreSQL, MongoDB, Redis, and more, showcasing strong backend development and system design skills.
    • User-Centric Design:  Created an engaging user interface with 36 unique seasonal themes, prioritizing user experience and intuitive navigation.
    • Key Features: Implemented interactive challenges, community forums, and push notifications.
    • Impact: Empowers users to make informed food choices, fosters a deeper appreciation for local culture,

  • Key Accomplishments:

    • Overcame Technical Challenges: Successfully tackled complex technical hurdles, such as OAuth2.0 integration, and database management.
    • Designed for scalability and security.
    • Conducted thorough user testing and prepared for App Store submission.
    • CI / CD

  • This project demonstrates my ability to:

    • Conceptualize, design, and execute complex projects independently.
    • Master a wide range of backend technologies and apply them effectively.
    • Create user-centric products that deliver value and delight.
    • Solve challenging technical problems and deliver high-quality results.

Work Experience

Software Engineer  •  EUPFIN Technology Co.,Ltd.

R&D section | Section leader | June 2022 - Present

  • Led the development and implementation of a Geohash system, significantly improving the speed and quality of GPS-related service development and ensuring stable, high-performance location-based services. (Technologies: Java, Cassandra DB, Spring Boot)
  • Utilized machine learning to predict garbage truck arrival times, achieving an accuracy improvement of over 60%. (Technologies: Golang, Go channels for multiprocessing, Gin, Python, Flask, Scikit-learn, Pandas, Numpy)
  • Integrated road segment speed limits from Taiwanese government open data into the company's FMS system, enabling clients to better monitor their fleet drivers' road usage. (Technologies: Java, Geohash, MSSQL, Spring, Spring Boot)
  • Optimized and refactored the fuel management system within the company's FMS, increasing the accuracy of fuel-related data statistics and optimizing data analysis performance by over 80%, while also improving code maintainability and extensibility. (Technologies: Java, Python, Numpy, Matplotlib, Cassandra, MSSQL, Redis, Design Patterns, Multiprocessing)
  • Implemented a daemon service using message queues to filter real-time data, eliminating hardware misjudgment errors. This project directly contributed to securing a major client order in the Vietnamese market, achieving a significant breakthrough for the company. (Technologies: Java, NATS, Cassandra, Multiprocessing and synchronization)
  • Implemented OCR for image recognition of fuel receipts and leveraged LLM to interpret the recognized text, automating the extraction of fuel volume and payment amount from images. (Technologies: Python, Google Vision AI, ChatGPT, Flask)
  • Utilized React Native and ReactJS to develop a mobile app and backend management system for a shared electric scooter charging station integration project. My ability to handle complex technical aspects enabled the company to complete this project with minimal manpower, resulting in cost savings exceeding 50%. (Technologies: React Native, ReactJS)

Research Assistant  •  National Taiwan University

August 2021 - June 2022

  • Developed a crawler to scrape data from the NTU accounting web, automizing the routine work.

Education

2018 - 2021

National Taiwan University

Master of Science in Psychology

  • Dean's Award, College of Science
  • First-author publication in a peer-reviewed neuroscience journal:
Chen, Y.-K., Cheng, T., & Hsieh, P.-J. (2022). P3b Does Not Reflect Perceived Contrasts. eNeuro, 9(2), ENEURO.0387-21.2022.

2011 - 2016

National Chengchi University

Psychology

技能

  • Golang, Java, Dart, Python, JavaScript
  • Spring boot, Flutter, Gin, Flask, ReactJS, NextJS
  • Cassandra, MongoDB, MSSQL, Redis, PostgreSQL

語言

  • English
  • Chinese
Powered By
Cake