I specialize in AI, Computer Vision, and Machine Learning, with a focus on research and real-world applications.
- Bachelor's in Computational Mathematics & Data Analytics, Universitat Autònoma de Barcelona
- AI in Finance Certificate, Artificial Intelligence Finance Institute
- Machine Learning & AI Research Intern at the Computer Vision Center (CVC)
Automated garment logging for designers using CLIP and ML models.
Tech: Python, PyTorch, CLIP, XGBoost, OpenCV
GitHub | Kaggle
Analyzed fashion sales using metadata, images, and time-series data.
Tech: Python, Pandas, PyTorch, OpenCV, XGBoost
GitHub
Developed reinforcement learning techniques to improve segmentation models.
Tech: PyTorch, TensorBoard, OpenCV, DeepLabv3
GitHub
Adapted LoRA for domain transfer in segmentation tasks.
Tech: PyTorch, SegFormer-B0, LoRA, Hugging Face
GitHub
Built an outfit recommendation system and image duplication detector using CLIP.
Tech: PyTorch, Hugging Face, CLIP, U-Net
GitHub
Developed an AI-powered crime mapping system with optimized pathfinding.
Tech: Python, C, Google Maps API, Selenium
GitHub
Forecasted sales in the healthcare industry using time-series analysis.
Tech: Python, Pandas, LightGBM
GitHub
AI-based outfit recommendation aligning with brand philosophy using CNNs & Transformers.
Tech: Python, Pandas, TensorFlow, Matplotlib
GitHub
- Email: [email protected]
- LinkedIn: Guim Casadellà
- Portfolio: guimcc.github.io/portfolio
- Hugging Face: guimCC