Built a hyperscale agentic AI system for Azure Compute that autonomously analyzed incidents using multi-agent diagnostics and RAG, accelerating monthly Cloud OS issue settlement by >45% across millions of Azure machines globally.
Designed a distributed, low-latency trading engine in Python and OCaml that autonomously processed high-frequency market data and executed trades in real time, generating >$150K in net profit in under one hour.
Led a 7-engineer team to build a cross-platform mobile application for Mothers Against Drunk Driving, integrating a conversational AI assistant to retrieve real-time organizational resources and guidance, improving accessibility by >55% and boosting projected user acquisition by >60%.
Directed a 5-engineer team to create a generative AI financial assistant that unified financial data into an intelligent queryable system, delivering actionable insights and improving management efficiency by ~50%.
Achieved top 5% global performance in EY’s Expedition Program, delivering 40+ structured analyses on database management, data science, and applications engineering, earning a $5K scholarship for excellence in technology consulting and cybersecurity advisory.
Advanced studies in algorithms, distributed systems, and applied mathematics, applying theory to independent projects that explored real-world system design and optimization.
Experience | James Roberts - Architect · Agentic AI
