Alonso
Jiménez
I am a passionate Computer Engineering student based in Seville (Spain) with a strong interest in Full-Stack web development, Machine Learning, Data Science and Cibersecurity.
Eager to apply my skills in programming, problem-solving, and analytical thinking to real-world projects, with a solid foundation in computer science principles through continuous learning and hands-on experience. My goal is to leverage these skills to make a meaningful impact in the tech landscape.
Skills
A quick snapshot of the tools and technologies I use most often.
Programming Languages
Web Development
ML/Data Science
Tools & Databases
Projects

OlivePrice Insights
Powerful application designed to scrape and analyze historical data on olive oil prices.
With OlivePrice Insights, you can effortlessly access a database of olive oil pricing trends, visualize historical fluctuations, and uncover valuable statistics.
Tech Stack: Python, Selenium, Pandas, NumPy, Matplotlib, Seaborn, Sklearn

SlimeAI
SlimeAI is an interactive reinforcement learning demo where two slime agents learn to play in a simulated, competitive environment.
Trained via self-play with Stable-Baselines3 on a Gymnasium-style setup, the agents gradually improve their movement, timing, and decision-making until they can reliably rally and score.
Tech Stack: Python, Flask, Stable-Baselines3, Gymnasium, PyTorch, Socket.IO

Animal Detector
Animal Detector is a CLI tool that uses the YOLOv8 model to specifically identify and highlight animals in images.
It focus on ten animal classes (like cats, dogs, and horses), automatically saving the processed images with bounding boxes around the detected wildlife.
Tech Stack: Python, OpenCV, YOLOv8, NumPy
Blog
I'm working on building my own blog from scratch and writing interesting articles about computer science.
Meanwhile, you can follow me on GitHub and LinkedIn to stay updated. Come back soon!
Contact
If you want to contact me, you can reach me on my LinkedIn or by sending an email to alonsojf17@gmail.com. I'll get back to you soon!
