I'm an Indie Developer with a strong passion for fullstack development and technological innovation. Currently, I am learning how to build complete applications using Reflex, and I love exploring the potential of AI and the Replicate API to integrate cutting-edge solutions into my projects. My experience spans the satellite and remote sensing industry, as well as various university research groups, where I have developed innovative solutions that blend advanced technology with scientific analysis.

Throughout my professional and academic journey, I’ve focused on the intersection of software development, geospatial data analysis, and process automation, always seeking to apply new technologies to solve complex problems and contribute to the advancement of knowledge.

• Description: Application designed to generate synthetic measurements of how a satellite would observe a region of Earth's surface under different atmospheric conditions.
• Tools: Python, Cartopy, NumPy, Matplotlib
• Challenges solved: Creating surface models based on terrain type, atmospheric modeling, and efficient visualization.

• Description: Integration of AI models through the Replicate API in various creative applications and projects. Just for fun.
• Tools: Python, Reflex, Replicate API
• Challenges solved: Real-time AI implementation in web projects, generating synthetic images and data to enhance user experience and automate processes.

• Description: Automated monitoring system using a hidden camera inside a "fake rock" connected to a router to count visitors at castle ruins in Castilla y León.
• Tools: Python, OpenCV, networking
• Challenges solved: Automation of visitor counting, seamless integration of hardware and software in a discreet and efficient manner.

• Description: Web app that downloads investment fund reports, generates summaries, and performs sentiment analysis on forecasts.
• Tools: Python, Flask, BeautifulSoup, NLTK
• Challenges solved: Building an end-to-end pipeline from data collection to sentiment analysis of financial reports.

• Description: Custom function for applying corrections to satellite data based on surface type, optimizing processing performance.
• Tools: Python, Cartopy, NumPy
• Challenges solved: Implementation of efficient models for different surface types, improving geospatial data accuracy.

• Reflex: Learning to develop fullstack applications using Reflex.
• Tailwind CSS: Exploring how to enhance user interfaces in web applications.