Welcome to my GitHub! I am an AI Graduate Student with a deep-rooted passion for Machine Learning and Deep Learning. Coming from a strong background as Service and Commissioning Engineering in the Automitive field , I bring a highly analytical, problem-solving mindset to the world of Artificial Intelligence.
My core expertise lies in Computer Vision, Agentic AI, and developing scalable models using Python, PyTorch, and TensorFlow. Currently, I am channeling my focus into healthcare innovation through my thesis, where I am developing a multi-agent system for early cancer detection using artificial vision.
Whether it's deploying LLMs, creating RAG architectures, or automating complex data pipelines, I love building systems that bridge the gap between theoretical AI and real-world engineering solutions.
- 🔭 My master's thesis project was: a Multi-agent system for early cancer detection using machine vision.
- 🌱 I’m currently ending my Master of Science in Engineering Artificial Intelligence.
- 👯 I’m looking to collaborate on Computer Vision, GenAI, and Machine Learning projects.
- 💬 Ask me about Python, PyTorch, TensorFlow, LangChain, and Computer Vision.
- 📫 How to reach me: mgranadosc91@gmail.com.
- ⚡ Fun fact: I have performed commissioning works at powertrains in the UK and Germany, and I speak Spanish, English, and German! Also I love videogames!
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| Project / Focus | Description | Tech Stack |
|---|---|---|
| Cancer Detection System | Multi-agent system for early cancer detection using artificial vision. | Python, Computer Vision, Agents |
| Medical AI Agents | Agentic AI system designed for healthcare applications, leveraging LLMs for medical assistance and data processing. | Python, LangChain, LLMs |
| License Plate Detection | Automatic Number-Plate Recognition (ANPR) system built using Transfer Learning techniques. | PyTorch, Transfer Learning, CV |
| Object Detection Model | Detection of objects in images with deep neural networks. | PyTorch, TensorFlow, Deep Learning |
| Process Automation | Process automation in climatic chamber testing and advanced data analysis. | Python, Pandas, NumPy |
