Digital Asset Management | Reliability & Predictive Maintenance
IBM Maximo MAS • EAM / APM • Reliability Data Engineering
I help industrial organizations turn maintenance data into reliability decisions and measurable asset performance improvement.
From maintenance data to asset performance. From reliability strategy to digital execution.
I am a Mechanical Engineer and reliability/data-focused consultant with 9+ years across refinery, petrochemical, power generation and industrial projects. I work at the intersection of maintenance engineering, CMMS/EAM, asset performance management and industrial data analytics.
My background is hands-on — from P&ID line checking and commissioning to administering IBM Maximo, building reliability KPIs and shaping EAM/APM solutions for enterprise clients. I translate plant-floor reality into data, process and software that hold up in operation.
Asset hierarchy, CMMS/EAM data, work management and the full maintenance lifecycle — structured for performance.
Work Order, PM, Inventory, Procurement, Asset Register, reporting and integration — administered and tuned.
RCM, FMEA, RCA, MTBF and MTTR, failure trends and maintenance strategy grounded in real failure data.
Oil analysis, condition monitoring, anomaly detection, health scoring and a realistic PdM roadmap.
Data pipelines, KPI dashboards, CMMS data quality and reliability reporting leadership can act on.
Demos, proposals, solution mapping, business pain-point discovery and enterprise roadmaps that win trust.
Reliability strategy, Maximo administration, failure analysis and turnaround support across complex process units.
PM programs for boilers, turbines and generators, SCADA-integrated condition monitoring and KPI reporting.
P&ID checking, piping, commissioning, handover documentation and CMMS build-up from project to operation.
Feasibility studies for solar PV and battery storage, energy-yield forecasting and ROI / financial modelling.
EAM/APM advisory, asset register design, data readiness and reporting across multi-site operations.
Maintenance process improvement, data foundations and the operational change that makes software stick.
Enterprise EAM / APM / ECM / WMS / ERP solution consulting — mapping operational challenges to digital-transformation roadmaps, building demo environments, technical solution documents and proposals across the full pre-sales cycle.
Feasibility studies for solar PV and battery storage, Power BI / Looker dashboards and no-CAPEX financial models — visualizing performance, savings and ROI for renewable-energy investment decisions.
Cross-functional troubleshooting and engineering investigations across refinery units — supporting process optimization, equipment reliability and energy efficiency for turnarounds and capital projects.
Maximo data pipelines and KPI dashboards, RCM strategies, MTBF / MTTR and failure-code structures, asset-hierarchy and CMMS data-quality improvement — turning maintenance records into reliability decisions.
IBM Maximo administration — PM schedules, inventory and procurement, BIRT reports and dashboards, DEV–TEST–PROD upgrades and SCADA / condition-monitoring integration, aligned to ISO 55001.
P&ID line checking, commissioning, piping, maintenance planning and refinery construction & handover — the plant-floor foundation behind every reliability decision I make today.
A clear read on your PM program, failure data, bad actors, KPIs and overall maintenance strategy — with prioritized actions.
Discuss this topicAsset register, work management, PM, inventory and reporting — data readiness and a practical IBM Maximo MAS roadmap.
Discuss this topicCondition monitoring, data foundation, health scoring, use-case selection and a staged pilot roadmap — not a big-bang.
Discuss this topicMaintenance KPI dashboards — MTBF / MTTR, backlog, PM compliance, failure trends — and executive-ready reporting.
Discuss this topicI write about maintenance, reliability, APM, CMMS, industrial data and the practical lessons behind digital transformation in asset-intensive industries.
What four outlaw brothers reveal about failure patterns, human error and building a reliability culture on the plant floor.
Read Article Condition MonitoringHow lubricant analysis turns routine sampling into early warning — catching wear, contamination and degradation before failure.
Read Article APMBacklog you can't explain, repeat failures, data trapped in spreadsheets — the practical triggers that justify APM.
Read Article MaintenanceThe shift that defines mature reliability programs — and the data, process and mindset changes it really takes.
Read ArticleReliability is not only about preventing failures. It is about building the data, process and decision system that lets assets perform as the business expects.