Open to opportunities

Victor Okadigbo

@victorokadigbo

Message

I build agentic AI workflows, RAG systems, and production ML services.

Zimbabwe

Message

What I'm looking for

I’m looking to build and deploy reliable agentic AI, RAG, and ML systems that improve finance, insurance, knowledge-management, and operational workflows from ingestion through monitoring and human review.

At Masteryhive, I build enterprise agentic AI systems for bank reconciliation, insurance claims, underwriting, and credit decisioning. My work takes AI products from document ingestion and retrieval through deployment, monitoring, and human review.

I’ve built Python and FastAPI workflows using LLMs, structured outputs, tool calling, retrieval, and document extraction, including a bank reconciliation system that identifies exceptions and routes unresolved cases for review. I also developed a TensorFlow credit-scoring model with production monitoring and reduced analytics latency by 80% through pipeline and query optimization.

Earlier, I introduced Graph RAG for complex multi-document retrieval, supported a PyTorch underwriting agent, and improved FastAPI response latency by about 30% with Redis caching. I enjoy building reliable AI services that make operational workflows faster, more repeatable, and easier to review.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Masteryhive

Jan 2025 - Present (1 year 8 months)

Built an enterprise agentic bank reconciliation system using Python, FastAPI, LLMs, Pandas, and document extraction to match large bank files, identify exceptions, and route unresolved cases for review. Designed and deployed AI agent workflows for insurance claims, underwriting, and banking operations on Kubernetes, combining retrieval, structured outputs, tool calling, and human-in-the-loop contr