Gboyega Olusanya

Driving tech vision by actively prototyping AI-first product capabilities, digital twins, and multi-agent orchestrations.

Engineered a stateful session interview agent using LangGraph for dynamic multi-turn question sequencing and evaluation loops. Developing an optimized RAG pipeline with Vertex AI text-embedding-004 and Vector Search for low-latency retrieval.

Designed a dual-engine compliance system combining supervised classification models with Generative LLMs for narrative-based AML risk analysis. Deployed models on GCP Cloud Run and leveraged Vertex AI for model management.

Led the operational push for LLM-assisted development workflows across the engineering department, optimizing cycle times and improving code reviews. Supervised architectural modernization of core enterprise applications into microservices and event-driven topologies.

Programmed a high-performance enterprise knowledge base using Haystack and ChromaDB. Managed end-to-end data pipeline including document cleansing, chunking, vector indexing, and grounding layers, enabling semantic search over banking compliance documents.

Developed and shipped three production-grade ML models serving ~700,000 monthly active users on Microsoft Azure. Implemented churn prediction, behavioral segmentation, and a recommendation system.

Led a 45-person cross-functional engineering team while remaining deeply technical. Orchestrated core frontend and backend microservices refactoring and deployment onto Azure Kubernetes Services (AKS). Designed and shipped an OpenAPI platform architecture for rapid third-party B2B integrations.

Hands-on Principal AI Engineer and Systems Architect with 20+ years of deep engineering experience building high-throughput fintech and banking systems, specializing in production-scale Generative AI, agentic architectures, and RAG pipelines.

Architected data pipelines and message contracts for 31 integrated apps on a $30M Core Banking migration.

Projected 10% infrastructure savings via FinOps frameworks and deployed DORA metric structures.

Improved system uptime from 89.6% to 98% across electronic channels.

Completed a Postgraduate Program in AI/ML at UT Austin (McCombs School of Business) in 2020.

Earned a Master of Business Administration (MBA) from Bayes Business School, London, UK in 2018.

Activities and societies: Co-built the university's first website

Earned a B.Sc. in Computer Science from the University of Ibadan, Nigeria in 1999. Co-built the university's first website.