AI Engineer Intern

Responsibilities & Contributions

• Built a social media simulation system for CritterCircle, Crittero's social platform for pet owners and animal rescues, generating realistic training data across seven persona types with seeded random generation and time-series activity modeling (1,700+ lines of TypeScript).
• Developed a foundational recommendation framework pairing a TensorFlow/Keras neural network with a collaborative-filtering fallback, alongside a data ingestion pipeline for CSV exports and interaction matrices.
• Created a configurable CLI testing framework in Python (700+ lines) with performance metrics and reproducibility validation, enabling systematic, repeatable evaluation of recommendation algorithms.