I'm a Johns Hopkins computer science and applied math/statistics student building AI systems, full-stack products, and performance-sensitive software. I am currently CTO at Altera Labs, where I work on an AI tutoring platform for classroom learning and student mastery modeling.

• Languages: Python, Java, C/C++, Swift, SQL, JavaScript/TypeScript
• Machine learning: PyTorch, scikit-learn, NumPy, Pandas, model evaluation, data pipelines
• Full-stack: React, Node.js, Firebase, Supabase, Google Cloud, Docker
• AI systems: FastMCP, Pydantic AI, LLM agent orchestration, retrieval/evaluation workflows

• Altera Labs - Full-stack AI tutoring platform with production LLM agents, mastery modeling, Canvas classroom pilots, and cloud deployment across React/TypeScript, Python, Firebase, Google Cloud, and Supabase.
• Oasis Emotion Prediction - Python ML pipeline that predicts human valence/arousal from OASIS image color composition and semantic categories using scikit-learn, PyTorch, NumPy, and cross-validation.
• Powerlyze - Native Swift/SwiftUI iOS app for powerlifting performance analysis, progress visualization, and local workout data workflows.

• LinkedIn
• GitHub
• Email