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shen Ruum

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緯創資通股份有限公司
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國立中山大學
台灣
Taiwan

Featured Resume

Uploaded on Apr 7th 2025

Professional Background

  • Current Status
    Studying
  • Profession
    Assistant Engineer
    Embedded Developer
    Firmware Engineering
  • Fields
    Hardware
    Consumer Electronics
    Software
  • Work Experience
    Less than 1 year
  • Management
  • Skills
    AI & Machine Learning
    Obstacle Avoidance Car
  • Highest Level of Education

Job Search Preferences

  • Current Status
    Ready to interview
  • Desired Job Type
    Full-time
    Interested in working remotely
  • Desired Positions
    製程工程師、半導體廠務工程師、AI影像工程師、測試工程師
  • Desired Work Locations
  • Freelance

Work Experience

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數位科技工程師(實習)

Jan 2025 - Jan 2025
1 mo
S (Situation) & T (Task) · By AI to to solf battiy iten and value urban planning and architectural data analysis. · AI automatically generates building areas and heights from aerial images. A (Action) & R (Result) · Achieved accurate segmentation of buildings using unet and raunet. · Promote artificial intelligence system reading and parts classification by Ai
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數位科技工程師(實習)

Jul 2024 - Aug 2024
2 mos
S (Situation) & T (Task) · Utilized AI to solve the recovery and valuation for computer parts in factories. · “Implemented recycling parts classification and UI. A (Action) & R (Result) · Improved data reading efficiency and component classification

Education

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Master’s Degree
電機工程學系
2024 - 2025
3.55/4 GPA
Activities and societies
圍棋社社長、科普志工社
Description
1. Six Defect Classification of Printed Circuit Boards based on Machine Learning-(In progress) • PCB defect detection using Python, combining Generative Adversarial Network (DCGAN) and Active Convolutional Fused Bidirectional Feature Pyramid Network with Remote Sensing Attention Mechanism. 2. AI-driven Building Footprint and Height Estimation from Aerial Imagery • Designed a method for automatically segmenting building footprints and extracting height information from aerial images. By leveraging semantic segmentation technology, the system can accurately identify building outlines, estimate building heights, and combine 2D and 3D data, providing a powerful framework for building analysis and 3D scene reconstruction. 3. Integrated OCR & NLP for Product Appraisal and Battery Recycling Classification • Implemented an automated pipeline using Pillow for image pre-processing and PaddleOCR for optical character recognition. The OCR results are stored in CSV format and subsequently processed through an NLP module, streamlining the tasks of product appraisal and recycling battery classification.
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Bachelor’s Degree
電子工程學系
2019 - 2023
Activities and societies
圍棋社社長、科普志工社
Description
Hybrid Taguchi Fuzzy Control in an Arduino-based Dual Ultrasonic Wheeled Obstacle Avoidance Robot- June 2023-Undergraduate Graduation Project • Designed a Mecanum wheel obstacle avoidance vehicle based on a hybrid Taguchi fuzzy control system. Achieved minimal obstacle avoidance time and displacement amplitude, with an avoidance time of only 5.59 seconds and an average error of just 0.90.-This project was presented-ITAOI 2023-Gòngxiàn bǐlì 35% • Shu-Te University Information Innovation Competition-June 2019: Honorable Mention • 59th Kaohsiung City Science Exhibition for Primary and Secondary Schools-June 2019: Third Place • AERC2021 Asian Intelligent Robot Competition-ONLINE Hongguang Tracking- Second Place • AERC 2022 Asian Intelligent Robot Competition-ONLINE First Round - Robot Racing Challenge-Featured • AERC 2022Asian Intelligent Robot Competition- ONLINE Second Round- Robot Racing Challenge-Excellent Work + Self-evaluation Award • AERC 2022 Asian Intelligent Robot Competition-ONLINE First Round-Robot Obstacle Challenge-First Place • ITAOI 2023- The 21st Conference on Information Technology and Applications in Outlying Islands.