MSc in Artificial Intelligence (Candidate - 2026)
AI / ML Engineer (Junior · Trainee) · Frontend + AI

I'm a Master’s student in Artificial Intelligence with a strong foundation in applied Machine Learning, Deep Learning, and data-driven experimentation, combined with a background in Frontend development.

My profile is oriented toward AI/ML engineering at junior or trainee level, with particular interest in:

• Applied machine learning pipelines
• Model experimentation and evaluation
• NLP and Computer Vision tasks
• AI-assisted and data-driven web products

I approach projects with an engineering mindset, focusing on reproducibility, clarity, and real-world applicability rather than purely academic results.
Currently focused on computer vision projects, model experimentation, and building AI-driven prototypes with a clear engineering structure.

Computer Vision · Image Segmentation · Deep Learning

Semantic segmentation pipeline focused on detecting deforestation patterns in satellite imagery of the Amazon rainforest.
The project explores image preprocessing, model experimentation, and qualitative evaluation of segmentation outputs.

🔗 Repository: https://github.com/jorgedoiany/amazon-deforestation-segmentation

Computer Vision · Image Processing · Classical & Learning-Based Methods

Comparative study of low-light image enhancement techniques, including classical image processing methods and learning-based approaches.
Emphasis on preprocessing pipelines, visual evaluation, and parameter sensitivity.

🔗 Repository: https://github.com/jorgedoiany/low-light-image-enhancement

📌 Master’s Thesis (TFM):
AI-based hybrid recommender system for film location scouting
(Currently in development — experimental and applied focus)

• Supervised & Unsupervised Learning
• Feature engineering and exploratory data analysis
• Model evaluation and comparison
• NLP fundamentals (text representation, similarity, embeddings)
• Computer Vision pipelines

Frontend experience focused on UI clarity, data-driven interfaces, and AI-assisted MVPs.

_{Last updated: 2026}