Hi, I'm Andrea Carolina Figueroa Orihuela, a B.S. in Computer Science and Technology with hands-on experience building backend services, data pipelines, and ML-enabled web apps. I enjoy collaborating across disciplines to design reliable, scalable systems and dashboards that enable real-time monitoring. Flask Web Application with ML model AI Application System subject - INHA University During my exchange semester at INHA University in South Korea, I collaborated with a diverse, multicultural team to develop a Flask Web Application integrated with a Machine Learning model for detecting fraudulent bank transactions. We preprocessed the data to train multiple models using different algorithms, with XGBoost achieving the best performance at 99.96% accuracy. The application Automation of Project Evaluations Development and Implementation of Software Systems subject - ITESM university The objective of the project was to automate and streamline the project evaluation process at the CICATA research center of IPN. I contributed to the design of the SQL database and developed the Node.js backend to manage users and project information. The system was containerized and deployed using Docker, operating as an intranet server with role-based permissions and session management through Bearer Authentication with tokens, improving the efficiency of the evaluation process MATE remote operated vehicle competition International competition - ITESM university The goal is to promote monitoring of the overall health of the ocean. I have been developing a Flask-based back end server in Python. The system processes robot control data, video streams, and intranet-based visualization, resulting in a functional webpage for submarine operators to enable real-time control and monitoring. Autonomous Mechatronics GRAND PRIX by ITESM Autonomous car category - ITESM university The goal is to develop a miniature autonomous mobile robot for indoor navigation. I used OpenCV in Python for image processing to make the robot capable of completing a circuit, recognizing colors and shapes. I have been the winner of first and second place in the campuses of the central-southern zone of the country…Hi, I'm Andrea Carolina Figueroa Orihuela, a B.S. in Computer Science and Technology with hands-on experience building backend services, data pipelines, and ML-enabled web apps. I enjoy collaborating across disciplines to design reliable, scalable systems and dashboards that enable real-time monitoring. Flask Web Application with ML model AI Application System subject - INHA University During my exchange semester at INHA University in South Korea, I collaborated with a diverse, multicultural team to develop a Flask Web Application integrated with a Machine Learning model for detecting fraudulent bank transactions. We preprocessed the data to train multiple models using different algorithms, with XGBoost achieving the best performance at 99.96% accuracy. The application Automation of Project Evaluations Development and Implementation of Software Systems subject - ITESM university The objective of the project was to automate and streamline the project evaluation process at the CICATA research center of IPN. I contributed to the design of the SQL database and developed the Node.js backend to manage users and project information. The system was containerized and deployed using Docker, operating as an intranet server with role-based permissions and session management through Bearer Authentication with tokens, improving the efficiency of the evaluation process MATE remote operated vehicle competition International competition - ITESM university The goal is to promote monitoring of the overall health of the ocean. I have been developing a Flask-based back end server in Python. The system processes robot control data, video streams, and intranet-based visualization, resulting in a functional webpage for submarine operators to enable real-time control and monitoring. Autonomous Mechatronics GRAND PRIX by ITESM Autonomous car category - ITESM university The goal is to develop a miniature autonomous mobile robot for indoor navigation. I used OpenCV in Python for image processing to make the robot capable of completing a circuit, recognizing colors and shapes. I have been the winner of first and second place in the campuses of the central-southern zone of the countryWWWW…