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AI Engineer with 7+ years in Machine Learning & RAG Architectures
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Assessing your cultural and operational fit
Machine Learning Engineer and AI System Specialist with 3+ years designing and shipping end-to-end AI solutions from agentic architectures and RAG pipelines to production ML models and cloud-native APIs. Delivered intelligent document systems, multi-agent platforms, and conversational AI tools that have reached enterprise clients across banking, energy, and manufacturing sectors. Deep expertise across the full ML delivery lifecycle: problem framing, data engineering, model development, REST API deployment, and stakeholder handoff. Passionate about building AI that works for African contexts, communities, and languages.
MIT
Emerging Talent Certificate · Computer & Data Science
August 1, 2024 – June 30, 2025
University of Lagos
BSc · Geophysics
August 1, 2018 – June 30, 2018
Yaba College of Technology
OND · Civil Engineering
August 1, 2013 – June 30, 2013
Infinion Technologies
AI Engineer
July 1, 2024 – Present
Lagos Island, Lagos State, Nigeria
AI Teaching Research & Innovation for Africa (TRI AI)
Research & Innovation
January 1, 2024 – August 1, 2024
Abuja, Federal Capital Territory, Nigeria
Nest Africa AI Innovation Lab
ML Engineer AI Agents & Systems
July 1, 2023 – December 1, 2023
Abuja, Federal Capital Territory, Nigeria
Observatory Earth Analytics (OEA)
Data Collector (Geospatial Analytics)
January 1, 2023 – July 1, 2023
Lagos Island, Lagos State, Nigeria
The Room (Global Tech Community)
Data Mapper & Business Development Fellow
July 1, 2022 – December 1, 2023
Lagos Island, Lagos State, Nigeria
SPE Africa Geothermal Datathon 2026
June 27, 2026 – Present
Led a 5-person team delivering an 8-notebook Jupyter ML pipeline for AI-assisted geothermal feasibility assessment of Rotliegend Sandstone wells near Utrecht, Netherlands completing a full pipeline from log imputation to feasibility scoring within competition deadline. Delivered GitHub repository and interactive scenario dashboard via GitHub Pages, enabling stakeholders to explore feasibility scores across multiple well configurations without code access.
ChainReach AI
June 27, 2026 – Present
Built the Customer Segmentation Agent clustering users into 5 behavioral segments using ML, enabling personalized campaign targeting within a live multi-agent platform ranked 3rd of all competing teams. Engineered agent to agent data handoff: segmentation outputs feeding 4 downstream agents (Content Retrieval, Message Generation, Safety & Compliance, and Orchestration Dashboard) in a fully automated pipeline.
AI NUBAN Account Extractor
June 27, 2026 – Present
Built a production AI pipeline using Azure Document Intelligence OCR and Python validation to extract 10-digit Nigerian NUBAN account numbers from image documents achieved zero false positives across all tested documents; purpose-built for Nigerian fintech and banking workflows.
Intelligent Document Processing (IDP) System
June 27, 2026 – Present
Automated end-to-end invoice ingestion, extraction, validation, and routing handling mixed-format inputs (PDFs, scanned images, emails) and extracting structured data fields across multiple document types simultaneously. Implemented business rule validation (PO match, tax rounding) and automated routing to downstream systems removing manual review steps from the invoice processing workflow, showcasing IDP and serverless service integration.
Access Bank iD8 Platform
June 27, 2026 – Present
Designed and built an AI-powered idea submission and evaluation system for Access Bank's internal innovation pipeline including similarity checking, dynamic scoring, and AI-driven evaluation services processing 100+ idea submissions through automated workflows.
Manufacturing AI Copilot
June 27, 2026 – Present
Built an AI-powered operations assistant enabling factory teams to query machine faults, downtime, quality inspections, and maintenance records in plain English grounded, source-cited answers from real operational data reducing time-to-answer for fault queries from minutes to seconds. Owned end-to-end: RAG architecture design, document ingestion pipeline via Azure AI Search, LLM orchestration via Azure OpenAI, and Streamlit web interface accessible to non-technical operators with zero training required.
EV Price Prediction Capstone
June 27, 2026 – Present
Built an end-to-end ML model for electric vehicle price prediction; ranked 1st of 19 teams on both technical rigor and business communication.
Runmila AI Institute: AI Commons
Runmila AI Institute
June 1, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 1, 2026 – Present
Tech4Dev: Data Scientist Programme
Tech4Dev
June 1, 2026 – Present
Microsoft Certified: Fabric Engineer
Microsoft
June 1, 2026 – Present
Microsoft Copilot
Microsoft
June 1, 2026 – Present
Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Udacity Nanodegree: Data Analyst
Udacity
June 1, 2026 – Present
Certified Scrum Master
Unknown
June 1, 2026 – Present
GitHub Copilot Certification
Microsoft
March 1, 2026 – Present
Microsoft EMEA Partner Hackathon Badge
Microsoft GCPS
March 1, 2026 – Present
Kubernetes and Cloud Native Associate (KCNA)
Linux Foundation
September 1, 2025 – Present
ALX Data Science Certificate Explore AI
ALX
May 1, 2023 – August 1, 2024
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through their diverse project experience, including initiatives focused on African contexts and development challenges. Their involvement in community leadership roles (TechSisters, Women Techsters Fellow) and mentorship programs highlights a commitment to knowledge sharing and fostering inclusive environments. The breadth of skills and continuous learning demonstrated through certifications and varied project types suggest adaptability and a proactive approach to professional development, which are valuable cultural attributes.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team collaboration skills through their project leadership roles (SPE Africa Geothermal Datathon, ChainReach AI) and community involvement (Lagos Chapter Lead TechSisters, Women Techsters Fellow). Their experience in agile delivery and stakeholder reporting indicates good operational fit and ability to communicate technical concepts to non-technical audiences. The emphasis on responsible AI also aligns with modern ethical operational practices.