A native of New York and a graduate of Northeastern University, in Boston, Massachusetts, Jorge brings deep experience in systems design, problem solving, and enterprise software architecture. He now focuses on architecting AI solutions that integrate with complex business environments, from data ingestion pipelines to production inference systems. Jorge has worked with several high-profile companies and projects, including enterprise-scale deployments at Los Angeles Airport (LAX) and mission-critical systems for Raytheon, experience that informs his approach to building reliable, scalable AI systems.

Bhuwan brings extensive experience in AI engineering, with deep expertise in building RAG pipelines, inference systems, and LLM integrations using Python, Java, and modern AI frameworks. He received his Bachelors of Science and Masters of Science, in Computer Engineering, from Northeastern University. Bhuwan started his career developing mission-critical Air Traffic Control systems for Raytheon, then played key roles at several ground-floor start-ups. Today, he specializes in helping organizations harness AI to turn unstructured data into actionable intelligence through retrieval-augmented generation and custom inference pipelines.