Biography
ENGINEER. RESEARCHER. BUILDER.
I am Yusuf Oluwasola Omoloja, a reliability engineer with over
15 years of hands-on experience in maintenance strategy development,
asset management systems, and digital transformation for industrial operations.
My career has been built at the intersection of rigorous engineering methodology
and practical field application — in the environments where reliability decisions
have real consequences.
My foundation is Reliability Centred Maintenance — specifically
John Moubray's RCM2 methodology, which I have applied across mining, processing,
and heavy industrial assets. I understand that maintenance is not about doing more —
it is about doing the right things, for the right reasons, at the right time.
That discipline shapes everything I build.
Over the past year I have combined this engineering foundation with
AI agent development — building intelligent systems that
automate FMEA generation, dynamic risk scoring, and maintenance task management.
What previously took experienced engineers days now takes minutes, with the
human effort redirected toward validation, judgment, and the knowledge
that no document can capture.
Currently pursuing a PhD focused on scalable hybrid reliability
frameworks that combine edge computing and cloud AI for real-time
equipment health monitoring in remote mining environments.
Outside of engineering, I write — maintaining a predictive maintenance blog
and reflecting on the deeper connections between engineering,
systems thinking, and human resilience.
Core Expertise
WHAT I KNOW
RCM2 & FMEA
Moubray methodology, functional failure analysis, consequence categorisation, PM task selection, hidden failure identification
Predictive Maintenance
Vibration analysis, oil analysis, thermography, ultrasound, condition monitoring strategy design and implementation
SAP Plant Maintenance
Functional location structures, equipment master data, maintenance plans, work order management, KPI reporting
IBM Maximo
Asset lifecycle management, PM scheduling, work order workflows, reporting and analytics configuration
Digital Twin Development
Physical asset modelling, performance simulation, maintenance planning integration, real-time monitoring dashboards
AI Agent Development
Claude API integration, RCM2 decision logic encoding, automated FMEA generation, dynamic risk scoring systems
Career Journey
EXPERIENCE
2024–
Present
AI Agent Developer & Reliability Consultant
Pacific Artis
Building AI-powered reliability engineering tools including the RCM2 FMEA Agent,
Dynamic FMEA Engine, and Maintenance Work Instruction Generator.
Consulting to mining and industrial clients on maintenance strategy and digital transformation.
Current
PhD Researcher
Mining Equipment Reliability – Australia
Researching scalable hybrid reliability frameworks combining edge computing
and cloud AI for real-time equipment health monitoring in the mining sector.
Focus on bridging RCM2 methodology with machine learning and digital twin technologies.
15+ Years
Reliability Engineer – Industrial Operations
Mining & Resources Sector
Over 15 years of hands-on reliability engineering across mining and heavy industrial
operations. SAP PM and IBM Maximo implementation, predictive maintenance programme
design, RCM2 analysis, and maintenance team training and capability development.
Technical Skills
TOOLS & TECHNOLOGIES
RCM2 – Moubray
FMEA
SAP PM
IBM Maximo
Digital Twin
Vibration Analysis
Oil Analysis
Thermography
Ultrasound NDT
Predictive Maintenance
Python
Django
Claude API
AI Agent Development
Machine Learning
Edge Computing
IoT
GitHub
PyCharm
HTML / CSS / JS
PostgreSQL
Risk Matrix
Asset Management
Failure Analysis
Maintenance Strategy
