Experience

• Extracted and structured high-volume capability dataset from unstructured sources using AI and sentence transformers (SBERT).
• Applied MinHash + HDBSCAN clustering to 260K+ entries, reducing data redundancy by 70% while preserving semantic relationships.
• Trained neural network classifiers using PyTorch across 312 professional categories with strong validation metrics.
• Designed and deployed scalable Python backends handling data ingestion, preprocessing, vector search with ChromaDB, and REST API endpoints serving production queries.

• Co-designed and developed UP, a decentralized professional identity platform focusing on semantic understanding of skills and careers.
• Engineered Knowledge Graphs and Social Graphs to structure professional data and enable intelligent assistant functionality.
• Built data collection and storage systems to support AI assistant training and personalization.

Dining and food service operations on the St. Ambrose University campus — customer service, point-of-sale, and front-of-house operations while balancing a full course load and varsity athletics.

Youth-focused digital initiative connecting emerging technologists with civic and societal challenges in Brazil.

Master's program at NYU's Center for Data Science.

Double major with minors in Computer Science and Statistics. Recipient of Academic and Athletic Scholarships. Focus on machine learning, statistical modeling, and applied mathematics with emphasis on production systems and scalability.