Miami, Florida, United States
I am a finance professor, AI curriculum developer, and interdisciplinary educator focused on connecting finance, artificial intelligence, STEM education, and environmental robotics. My work spans higher education, K–12 STEM innovation, graduate curriculum development, applied AI, and autonomous systems research. I teach finance at the undergraduate and graduate levels, develop applied learning experiences using Bloomberg, simulations, and AI-based tools, and design curriculum that prepares learners for emerging careers in technology, finance, and data-driven decision-making. My research and development work also includes AI for autonomous underwater and terrestrial vehicles, signal-based localization, and real-time navigation in environmental robotics contexts. My long-term goal is to build programs, partnerships, and learning ecosystems that expand access to high-quality STEM, finance, and AI education while supporting workforce development and community impact.
• Data Annotation: Accurately label and tag data to train machine learning models. • Prompt Generation: Craft clear and concise prompts for educational or Al training purposes. • Response Evaluation: Assess and refine Al-generated responses to ensure accuracy and relevance. • Quality Assurance: Meticulously review your work to maintain data consistency and integrity. • Data Processing: Efficiently manage large datasets while upholding stringent quality standards.
Explore how Artificial Intelligence can use an underwater fingerprint chart of electromagnetic signals for mapping and localization, under the guidance of Dr. Leonardo Bobadilla, Associate Professor, College of Engineering and Computer Science.