XIANG FANG (Felix)
Machine Learning Engineer | Passionate about AI, Web, and Creativity
Contact
Here is how you can find my contact information
- Email: xiangfang.eng@gmail.com
- GitHub: https://github.com/FFFelix-Eng
- LinkedIn: https://www.linkedin.com/in/xiang-fang-b1328b225/
Skills
- Python, PyTorch
- HTML, CSS, JavaScript
- Git, VS Code, GCP, OpenAI, Vertex
Work Experience
Zelf AI - AI Engineer (Jan 2025 – Now)
- Support the AI team in developing novel AI applications to analyze video content and provide summarized data and insights for end clients.
- Design and optimizing video sentiment analysis using LLM
- Help design video insights generation and video grounding
Learning Engineer Intern, Eth Tech (Aug 2024 - Dec 2024)
- Designed and implemented an emotion classification algorithm based on video and NLP information using multi-modal models for sentiment analysis.
- Boosted classification accuracy by 16.4% through data augmentation with BERT and GPT-4.
Research Assistant, University of Waterloo (Aug 2024 - Dec 2024)
- Designed and implemented an emotion classification algorithm based on video and NLP information using multi-modal models for sentiment analysis.
- Boosted classification accuracy by 16.4% through data augmentation with BERT and GPT-4.
- Help design video insights generation and video grounding
Education
University of Waterloo – MASc in Electrical & Computer Engineering (2021-2024)
Beijing University of Technology - Bachlor of Engineering (2017-2021) (Dual Degree)
University of College Dublin - Bachlor of Engineering (2017-2021) (Dual Degree)
Key Modules
- Algorithm Design and Analysis
- Image Processing and Visual Communication
- Data & Knowlefge Modeling & Analysis
- Tools of Intelligent Systems Design
- Natural Language Processing
Publication
- Classification of ECG based on Hybrid Features using CNNs for Wearable Applications 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Mar 7, 2023