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最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
职场能力评价定义
施孟宏 Hiro
軟體研發工程師
台北
熱衷於新科技和技術探索的軟體工程師
擅長 Python 與 2D/3D 深度學習領域的相關技術
並具備敏銳的觀察力和解決問題的能力
工作與求學期間，參與多個新創或AI落地的專案
期待能在充滿挑戰和創新的工作環境與同事們一起學習和成長
專案的介紹可以來我的作品集網站看看
Python
- Deep Learning
- PyTorch
PyTorch Lightning
ultralytics/yolo
Image Processing
OpenCV
scikit-image
PyVista
Data Analysis
Numpy
Pandas
Matplotlib
TensorBoard
GUI
PyQt
開發環境/工具
- OS
- Windows
Ubuntu
IDE
Jupyter
PyCharm
VScode
Tool
Docker
Git
Edge computing
Jetson Nano
NAS
ONNX
PyTorch Mobile
TensorRT
專業課程
- 影像處理
- 計算機視覺
- 類神經網路
- 多媒體概論
- 機器學習
- Python資料分析
- JSP網路程式設計
工作經歷
軟體研發工程師 • 醫療儀器新創
Jun 2023 - Feb 2024
建構深度學習軟硬體環境, 2D/3D 醫療影像資料標註, 3D 醫療影像辨識演算法開發
軟體研發工程師 • QNAP 威聯通科技
Aug 2022 - Dec 2022
NAS 應用程式開發, OCR 框架性能效能驗證, Library 包裝, API 設計
學歷
元智大學 電機工程所
學士 / 碩士 五年一貫
2016 - 2021
專案
Kaggle 競賽銀牌:
APTOS 2019 Blindness Detection
使用 EfficientNet
搭配多種深度神經網路的訓練技巧
建立一套全球排名 Top 1% 準確度的
糖尿病視網膜病變分類網路
施孟宏 Hiro
Software Engineer
Taipei
A software engineer, new tech lover
Thinking with observation and logic
Teamwork to solve projects with Python and 2D/3D deep learning
Participate in multiple startup or new technology projects
More project descriptions are shown on my portfolio website
Python
- Deep Learning
- PyTorch
PyTorch Lightning
ultralytics/yolo
Image Processing
OpenCV
scikit-image
PyVista
Data Analysis
Numpy
Pandas
Matplotlib
TensorBoard
GUI
PyQt
Dev Env/Tools
- OS
- Windows
Ubuntu
IDE
Jupyter
PyCharm
VScode
Tool
Docker
Git
Edge computing
Jetson Nano
NAS
ONNX
PyTorch Mobile
TensorRT
Courses
- Image Processing
- Computer Vision
- Neural Networks
- Introduction to Multimedia
- Machine Learning
- Python Data Analysis
- JSP Applications
Work Experience
Software Engineer • Medical Equipment Starup
Jun 2023 - Feb 2024
2D/3D medical image data processing, 3D medical image recognition algorithm development
Software Engineer • QNAP Systems, Inc.
Aug 2022 - Dec 2022
NAS Application Dev, OCR framework performance validation, Library packaging, API design
Education
Master of Electrical Engineering, Yuan Ze University
Accelerated Five-Year BA/MA Program
2016 - 2021
Projects
Silver medal in Kaggle competition
APTOS 2019 Blindness Detection
Use EfficientNet with tricks
Top 1% Accuracy in the World
Diabetic Retinopathy Classification Network
Sphygmomanometer Digits
Recognition System
Through the camera lens of a mobile device
Capture clear images from the screens of two target sphygmomanometer
Detect the digits on the computing server
Shorten the procedure when using a traditional sphygmomanometer to record in the cloud
Deinterleaving and Classification of Multiple PRF Signals
Designing radar signal encoder and neural network
Identify and classify multiple radar simulation signals
施孟宏 Hiro
軟體研發工程師
台北
熱衷於新科技和技術探索的軟體工程師
擅長 Python 與 2D/3D 深度學習領域的相關技術
並具備敏銳的觀察力和解決問題的能力
工作與求學期間，參與多個新創或AI落地的專案
期待能在充滿挑戰和創新的工作環境與同事們一起學習和成長
專案的介紹可以來我的作品集網站看看
Python
- Deep Learning
- PyTorch
PyTorch Lightning
ultralytics/yolo
Image Processing
OpenCV
scikit-image
PyVista
Data Analysis
Numpy
Pandas
Matplotlib
TensorBoard
GUI
PyQt
開發環境/工具
- OS
- Windows
Ubuntu
IDE
Jupyter
PyCharm
VScode
Tool
Docker
Git
Edge computing
Jetson Nano
NAS
ONNX
PyTorch Mobile
TensorRT
專業課程
- 影像處理
- 計算機視覺
- 類神經網路
- 多媒體概論
- 機器學習
- Python資料分析
- JSP網路程式設計
工作經歷
軟體研發工程師 • 醫療儀器新創
Jun 2023 - Feb 2024
建構深度學習軟硬體環境, 2D/3D 醫療影像資料標註, 3D 醫療影像辨識演算法開發
軟體研發工程師 • QNAP 威聯通科技
Aug 2022 - Dec 2022
NAS 應用程式開發, OCR 框架性能效能驗證, Library 包裝, API 設計
學歷
元智大學 電機工程所
學士 / 碩士 五年一貫
2016 - 2021
專案
Kaggle 競賽銀牌:
APTOS 2019 Blindness Detection
使用 EfficientNet
搭配多種深度神經網路的訓練技巧
建立一套全球排名 Top 1% 準確度的
糖尿病視網膜病變分類網路
施孟宏 Hiro
Software Engineer
Taipei
A software engineer, new tech lover
Thinking with observation and logic
Teamwork to solve projects with Python and 2D/3D deep learning
Participate in multiple startup or new technology projects
More project descriptions are shown on my portfolio website
Python
- Deep Learning
- PyTorch
PyTorch Lightning
ultralytics/yolo
Image Processing
OpenCV
scikit-image
PyVista
Data Analysis
Numpy
Pandas
Matplotlib
TensorBoard
GUI
PyQt
Dev Env/Tools
- OS
- Windows
Ubuntu
IDE
Jupyter
PyCharm
VScode
Tool
Docker
Git
Edge computing
Jetson Nano
NAS
ONNX
PyTorch Mobile
TensorRT
Courses
- Image Processing
- Computer Vision
- Neural Networks
- Introduction to Multimedia
- Machine Learning
- Python Data Analysis
- JSP Applications
Work Experience
Software Engineer • Medical Equipment Starup
Jun 2023 - Feb 2024
2D/3D medical image data processing, 3D medical image recognition algorithm development
Software Engineer • QNAP Systems, Inc.
Aug 2022 - Dec 2022
NAS Application Dev, OCR framework performance validation, Library packaging, API design
Education
Master of Electrical Engineering, Yuan Ze University
Accelerated Five-Year BA/MA Program
2016 - 2021
Projects
Silver medal in Kaggle competition
APTOS 2019 Blindness Detection
Use EfficientNet with tricks
Top 1% Accuracy in the World
Diabetic Retinopathy Classification Network
Sphygmomanometer Digits
Recognition System
Through the camera lens of a mobile device
Capture clear images from the screens of two target sphygmomanometer
Detect the digits on the computing server
Shorten the procedure when using a traditional sphygmomanometer to record in the cloud
Deinterleaving and Classification of Multiple PRF Signals
Designing radar signal encoder and neural network
Identify and classify multiple radar simulation signals