Computer Science, Mathematics, Data Science and Statistics student at the University of Richmond (GPA: 3.89). Selected as a Richmond Scholar, one of 25 recipients selected from +12,500 applicants for the university's most prestigious merit award (full-ride, covering full tuition, housing, and food). My work spans robotics systems, full-stack development, and applied machine learning. I'm drawn to problems that require both theoretical rigor and clean, production-ready implementation. Highly interested and curious about turning creative ideas/solutions to real-world problems into computational problems.

• Richmond Scholar (Full-Ride; 11,500+ applicants)
• International STEM Medalist (High School; World's Top 3 Medalist, first Latin American in a major STEM olympiad)
• Dean’s List
• All-A’s List
• Metcalf Prize (5 sophomores awarded)
• Omicron Delta Kappa (Top 5%)

Software Engineer, Human and Intelligent Vehicle Ensemble Lab (Aug 2025 – Present)

• Designed and implemented a revamped application to manage 10+ robot location sensors, replacing a legacy Android/Java system and improving reliability for dozens of users
• Built a cross-platform Bluetooth management layer in Python by analyzing existing Java Bluetooth code, expanding an Android-only system to support macOS, Windows, and Linux
• Developed concurrent software using Python Async and multithreading to handle multiple processes, threads, and tasks, enabling real-time visualization of sensor location data

Research Engineer, Human and Intelligent Vehicle Ensemble Lab (May 2024 – Present)

• Engineered an estimation algorithm for DWM sensor data that increased prediction precision and reduced latency through iterative testing to improve robots' real-time autonomous decision-making
• Implemented an Unscented Kalman Filter (UKF) for a nonlinear model and automated data-processing pipelines, reducing estimation error from 7.5 cm to 1.6 cm for a 78% improvement while boosting efficiency, and reliability in a high-noise indoor positioning system
• Designed and developed the estimation algorithm as a ROS2 node, gaining experience with concurrent ROS2 nodes and real-time communication in distributed robotic systems

• Programming Skills & Languages: Python, Java, C/ C++, SQL, R, JavaScript, TypeScript, LaTeX, Git, VSCode, Unix, Linux, Github
• Frameworks, Tools & Technologies: Node. js, Next. js, Express, Flask, Spring Boot, REST APIs, PostgreSQL, SQLite3, MongoDB, Render, React, Tailwind CSS, HTML/ CSS, NumPy, Pandas, Scikit-Learn, Tensorflow, PyTorch, Matplotlib, Beautiful Soup, ROS2

• Vice-President, Association for Computing Machinery (ACM) (Sep 2024 - Present)
• Vice-President, Robotics Society at the University of Richmond (RobSoc) (Feb 2026 - Present)
• Lead Software Developer, Robotics Society at the University of Richmond (RobSoc) (Feb 2026 - Present)
• Richmond Scholars Ambassador, University of Richmond (2024-2025)

If you’re looking for a driven, creative, and impact-focused problem solver with a strong foundation in both theory and application, let’s connect.