Stephen Sequenzia
AI/ML Engineer & Architect
Orlando, FL
AI/ML Engineer and Architect with 10+ years building production-grade AI/ML systems across the full lifecycle — from scalable data pipelines and GPU-accelerated model training to MLOps deployment and enterprise agentic AI systems. Deep expertise spanning ML engineering, data engineering, and cloud infrastructure, with a track record of driving measurable performance improvements and leading cross-functional technical teams.
Highlights
- Agentic Architect leading design and development of enterprise agentic AI systems using Pydantic AI, RAG pipelines, and custom MCP servers
- Achieved over 94% reduction in deep learning model training times through PyTorch Profiler diagnostics and architecture refactoring
- Architected an Apache Arrow-native Data Lakehouse on S3 and PostgreSQL for time series data, metadata, and ML feature stores
- Built Photon ML, an open-source machine learning framework extending TensorFlow, Keras, and PyTorch for deep learning research