I'm a Microsoft intern pursuing a dual degree in Data Science & Engineering and Mathematics at UPC Barcelona. Passionate about AI, machine learning, and innovative technology solutions. I enjoy tackling complex problems and creating applications that make a positive impact.

• Double Bachelor's Degree in Data Science & Engineering, and in Mathematics
  Universitat Politècnica de Catalunya (UPC Barcelona)
  Expected Graduation: February 2027

• SoLatAm - UAB THE HACK Hackathon 2025
  AI-Powered Renewable Energy Transition Platform for Latin American communities.

  • Technologies: Python, NASA POWER API, OpenAI, Computer Vision, Streamlit, Folium
  • Role: Led the data processing pipeline and solar potential mapping features

• Design Decoder - Datathon FME 2024
  AI tool to automate garment attribute recognition from images, freeing designers to focus on creative work.

  • Technologies: PyTorch, CLIP, XGBoost, OpenCV, Streamlit
  • Key Achievement: 🏆 1st Place Winner at Datathon FME 2024

• Street Style Decoder - HackUPC 2024
  App that identifies clothing items from photos and recommends similar products from retail catalogs.

  • Technologies: CLIP, U-NET Semantic Segmentation, PyTorch, Cosine Similarity
  • Role: Developed the semantic segmentation component to isolate clothing items

• LightChaser - 2024 France Tech Arena
  Network optimization solution using modified Dijkstra's algorithm to replan service paths after fiber failures.

  • Technologies: Graph Algorithms, Wavelength Optimization, Python
  • Key Challenge: Optimizing wavelength allocation while maximizing service continuity

• Chip Power Delivery Optimization - Datathon FME 2022
  Solution to a variation of the Traveling Salesman Problem using Genetic Algorithms and Simulated Annealing.

  • Technologies: Genetic Algorithms, Simulated Annealing, Python
  • Role: Algorithm design and implementation

• Song Popularity Predictor
  Machine learning project predicting Taylor Swift's song popularity using classical ML models.

  • Technologies: Python, Scikit-learn, Pandas, Matplotlib, Seaborn
  • Models: Linear models, decision trees, ensemble methods, support vector machines
  • Process: Data preprocessing, feature engineering, model training and evaluation

• SIAM Student Programming Competition
  Automated Market Maker (AMM) simulation with evolutionary optimization for liquidity provision strategies.

  • Technologies: Python, NumPy, Pandas, Evolutionary Algorithms
  • Key Features: Conditional Value at Risk (CVaR) optimization, market dynamics simulation

• Workgroup Manager
  Cross-platform desktop application for coordinating student group projects and visualizing member availability.

  • Technologies: Python, tkinter, MySQL
  • Key Features: Visual calendar for group availability, user accounts with authentication, group administration tools

• Cinebus
  Desktop app for finding movie listings with optimized public transport routes to cinemas in Barcelona.

  • Technologies: Python, BeautifulSoup, NetworkX, tkinter
  • Key Features: Real-time movie listings via web scraping, integrated bus network navigation, interactive city map visualization
  • Implementation: Combined city road graph with public transport data to calculate optimal routes

• Fantasy Football
  Algorithm-driven application for creating optimal fantasy football teams based on player statistics.

  • Technologies: C++11
  • Key Features: Multiple team selection algorithms (exhaustive search, greedy, genetic algorithm)
  • Optimization: Smart filtering of player database to reduce search space and improve performance

• Rust

I'm always open to new opportunities and collaborations. Let's connect!