TAIRONG CHEN
Senior Deep Learning Engineer | 0920648949 | [email protected] | Taiwan, Taipei
Data Scientist with over 5 years of experience in developing and deploying advanced Deep Learning solutions for data analysis and automation. Proven track record in achieving patents and delivering impactful improvements in sound detection accuracy, enhancing operational efficiency by 30% through automation initiatives. Strong technical expertise in data engineering, cloud computing, and deep learning model interpretability.
EXPERIENCE
Algorithm R&D Engineer • Wistron Corporation
Dec 2019 - Jul 2023 | Taipei, Taiwan
- Deep Learning Development:
- Developed acoustic systems using advanced Deep Learning models, achieving a 25% increase in
sound detection accuracy.
- Led interpretability studies and visualized embeddings to enhance team understanding of model
behavior, reducing debugging time by 40%.
- Spearheaded and filed a patent: Abnormal Sound Detection Method and Apparatus
(US20230030911A1), Feb 2023. - Data Science Contributions:
- Visualized and preprocessed large-scale audio datasets for model development, resulting in a 15%
reduction in data preparation time.
- Automated reporting for marketing analysis using MySQL, Trinity, and Power BI, improving
insights delivery speed by 20%.
- Designed a high-performance data warehouse on AWS, improving cross-team data accessibility
and reducing query times by 35%.
EDUCATION
National Taipei University of Technology • Master’s Degree in Electronic Engineering
May 2017 - Sep 2019 | Taipei, Taiwan
• Specialized in developing deep learning models for Natural Language Processing (NLP).
• Developed classification systems for speech/audio using deep learning techniques.
• Conducted research on image classification and recognition through deep learning methodologies.
CERTIFICATIONS
• Google IT Automation with Python, Coursera - Feb 2023.
PATENT
• ABNORMAL SOUND DETECTION METHOD AND APPARATUS (US20230030911A1) - Feb 2023.
SKILLS
- Programming & Frameworks: Python, TensorFlow, Keras, PyTorch, scikit-learn, NumPy, Pandas
- Cloud & Tools: AWS (S3, Lambda, EC2), GCP, Docker, Git, MySQL, Power BI
