Multimodal Sentiment Analysis with ML

I need a skilled freelancer for a machine learning project focused on sentiment analysis using multimodal inputs: static images, GIFs, and text. The project requires developing or fine-tuning models capable of handling this multimodal data.

Key expectations include:
- **Model Development**: Develop or fine-tune models capable of handling multimodal data.
- **Preprocessing Pipelines**: Create preprocessing pipelines for image (normalization and resizing), GIF, and text inputs.
- **Model Training**: Train, evaluate, and optimize models for high accuracy.

Ideal skills and experience:
- Proficiency in TensorFlow
- Experience with multimodal machine learning
- Strong background in model training and optimization
- Familiarity with sentiment analysis
- Ability to work with custom datasets

Please provide relevant portfolios and past project details.