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AI Engineer with hands-on experience building LLM workflows, agentic reconciliation systems, RAG pipelines, credit decisioning tools, and AI services for finance, insurance, and knowledge management. I'm focused on turning manual business processes into reliable AI systems that extract data, reason over documents, automate decisions, and escalate exceptions for review. I enjoy architecting production-ready AI services and scalable data pipelines, collaborating with cross-functional teams to deliver measurable impact and reliable results.…AI Engineer with hands-on experience building LLM workflows, agentic reconciliation systems, RAG pipelines, credit decisioning tools, and AI services for finance, insurance, and knowledge management. I'm focused on turning manual business processes into reliable AI systems that extract data, reason over documents, automate decisions, and escalate exceptions for review. I enjoy architecting production-ready AI services and scalable data pipelines, collaborating with cross-functional teams to deliver measurable impact and reliable results.

Victor Chibuzor Okadigbo

AI Engineer, Data Scientist, Full Stack Developer, +3

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AI Engineer with hands-on experience building LLM workflows, agentic reconciliation systems, RAG pipelines, credit decisioning tools, and AI services for finance, insurance, and knowledge management. I'm focused on turning manual business processes into reliable AI systems that extract data, reason over documents, automate decisions, and escalate exceptions for review. I enjoy architecting production-ready AI services and scalable data pipelines, collaborating with cross-functional teams to deliver measurable impact and reliable results.…AI Engineer with hands-on experience building LLM workflows, agentic reconciliation systems, RAG pipelines, credit decisioning tools, and AI services for finance, insurance, and knowledge management. I'm focused on turning manual business processes into reliable AI systems that extract data, reason over documents, automate decisions, and escalate exceptions for review. I enjoy architecting production-ready AI services and scalable data pipelines, collaborating with cross-functional teams to deliver measurable impact and reliable results.

Available to hire

AI Engineer with hands-on experience building LLM workflows, agentic reconciliation systems, RAG pipelines, credit decisioning tools, and AI services for finance, insurance, and knowledge management. I’m focused on turning manual business processes into reliable AI systems that extract data, reason over documents, automate decisions, and escalate exceptions for review.

I enjoy architecting production-ready AI services and scalable data pipelines, collaborating with cross-functional teams to deliver measurable impact and reliable results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Masteryhive

January 1, 2025 - November 10, 2025

Engineered scalable back-end automation services that efficiently collect and process data from third-party sites, streamlining data acquisition and integration for enterprise applications. Designed and deployed intelligent agent workflows to automate the end-to-end underwriting process in an insurance ecosystem, ensuring seamless decision-making and policy processing. Built microservices for ETL pipelines, enabling automated extraction, transformation, and loading of structured and unstructured data into BigQuery for advanced analytics and reporting.

AI Engineer - Internship at Masteryhive

January 1, 2025 - January 1, 2025

Collaborated with data engineers and analysts to design and deploy Python-based ETL pipelines (running on Cloud Functions) that automate daily financial data ingestion into BigQuery, reducing manual prep by 80%. Integrated a simple caching layer (using Redis) into a FastAPI–backed model endpoint, reducing end-to-end inference latency by ~30%.

AI Engineer - Internship at Barrel

September 1, 2024 - September 1, 2024

Built a robust knowledge-base system to store a client’s data retrieved from varied file formats and scraped from company websites into a relational database with an AI agent architecture. Demonstrated hands-on expertise in integrating core components of agentic workflows, ensuring smooth interoperability and enhanced system coherence.

Data Analysis at Cisco Bootcamp

May 1, 2024 - May 1, 2024

Developed proficiency in data handling, including cleaning, manipulation, visualization, and analysis. Gained SQL and Python-based statistical analysis skills and produced reports and various projects using data visualizations to communicate findings to stakeholders.

AI Engineer Intern at Masteryhive

September 1, 2024 - January 1, 2025

Introduced graph-based RAG patterns for multi-document retrieval in complex enterprise queries. Supported an underwriting agent with PyTorch for policy condition checks and premium recommendations. Converted a manual analytics process into an AI-assisted BigQuery workflow. Added Redis caching to a FastAPI service, reducing end-to-end response latency by about 30%.

AI Engineer Intern at Barrel

June 1, 2024 - September 1, 2024

Built an agentic knowledge base that structures client data into relational workflows for AI use cases. Developed LLM-assisted retrieval pipelines that improved context relevance for knowledge queries. Optimized indexing and retrieval strategies to improve query reliability and reduce latency.