At Susa (Servicios Urbanos S.A.), I designed and implemented real-time processing for GPS telemetry events and packets using Redis Pub/Sub and RabbitMQ with Clean Architecture.
I developed scalable REST APIs and optimized MongoDB queries to support efficient storage and consumption of continuous data streams. I also contributed to integrating complex business logic for urban transport systems.
At Instituto Superior Colegio del Carmen, I designed and taught Introduction to Data Science, guiding students through the analytical workflow with Python, Pandas, Scikit-Learn, and applied statistics.
For my degree thesis, I’m developing a computer vision pipeline using YOLO to detect, segment, and classify mosquito eggs in ovitraps. I’ve also analyzed the 2023 presidential debate with text preprocessing, lexical diversity analysis, and sentiment analysis using spaCy and NLTK.
