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Senior AI Engineer - LLM, RAG with 6+ years in LLM Applications & AI Governance
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Staff AI Engineer and AI Governance Professional with experience building LLM applications, RAG informed systems, data pipelines, and Responsible AI controls for enterprise settings. Brings hands on Python, SQL, Docker, Kubernetes, GitHub Actions, LangChain and LangGraph concepts, vector search, and governance aligned AI delivery. Published on Responsible AI in model development and explainable RAG with knowledge graph reasoning. Fully authorized to work in Canada.
African Regional Centre for Space Studies, OAU
PGD · Satellite Communication
N/A – Present
National Open University of Nigeria
MSc · Peace Studies and Conflict Resolution
N/A – Present
Southern Alberta Institute of Technology
Integrated Artificial Intelligence (IAI)
N/A – June 30, 2026
National Open University of Nigeria
BSc · Peace Studies and Conflict Resolution
N/A – Present
Rivers State University
B.Tech · Computer Engineering
N/A – Present
TopHills Consulting Inc.
AI Governance and Applied AI Consultant
November 1, 2024 – Present
Winnipeg, Manitoba, Canada
IntouchCX
Data Quality Assurance Analyst
October 1, 2023 – October 1, 2024
Winnipeg, Manitoba, Canada
UNDSS
Data Quality Assurance Analyst
July 1, 2019 – June 1, 2023
Abuja, Federal Capital Territory, Nigeria
Biomedical RAG and Knowledge Graph Explorer
January 1, 2026 – Present
Built a distributed systems application with vector search and graph based data architectures over large unstructured datasets. Rendered interactive PyVis knowledge graphs with real time metadata relationships for explainable retrieval.
Hybrid RAG and Knowledge Graph Explainable QA System
January 1, 2026 – Present
Developed a Flask REST API using embeddings, reranking, spaCy NER, generation models, prompt injection blocking, output screening, and provenance tracking.
FortifyFirst - Fullstack AI Governance Platform
January 1, 2026 – Present
Delivered 25 REST endpoints, 3 tier RBAC, PostgreSQL, Express and TypeScript services, incident management, and ISO/IEC 42001 and NIST AI RMF control mapping.
IAPP Member
IAPP
June 1, 2026 – Present
PMI Member
PMI
June 1, 2026 – Present
IEEE Member
IEEE
June 1, 2026 – Present
Integrating Responsible AI into Model Development Life Cycle: A Practical Framework for Predictive Maintenance
IEEE Singapore
January 1, 2026 – Present
Explainable AI Question Answering Framework: Integrating RAG with Knowledge Graph Reasoning
IEEE Seattle
January 1, 2026 – Present
Artificial Intelligence Governance Professional
IAPP
January 1, 2026 – January 1, 2026
Applied Data Science Lab
WorldQuant University
January 1, 2024 – Present
Certified Professional Business Analyst
PMI
January 1, 2024 – January 1, 2024
Cultural Fit Analysis
The candidate's project diversity, including biomedical RAG, explainable QA systems, and a full-stack AI governance platform, shows a broad interest and adaptability. Their experience in both consulting and in-house roles, along with international experience (UNDSS), suggests an ability to work in varied organizational cultures. The strong emphasis on AI governance and responsible AI aligns well with modern industry demands for ethical AI development.
Soft Skills & Operational Fit
The candidate demonstrates strong cross-functional collaboration skills, evidenced by coordinating requirements with developers, IT engineers, and business stakeholders. Their experience in technical documentation and defining best practices suggests a methodical approach to operations and knowledge transfer. The focus on Responsible AI and governance indicates a proactive and ethical mindset, which is crucial for senior roles in AI.