YouTube
Practical walkthroughs
Short demonstrations of EAM, interface behaviour, operational automation and realistic AI/ML use cases.
Open YouTubeField notes & selected topics
Field notes on EAM, interfaces and applied AI
Walkthroughs and selected topics across three independent practices: EAM last-mile engineering, interface reliability and applied AI/ML designed for day-to-day use.
Where I publish
Videos, posts and longer articles
I publish on YouTube, LinkedIn and the external blog. This page brings the main themes together and links each one to the relevant service.
Pilot & validation
Proof belongs close to the operational workflow
A useful pilot should show what works, what fails and which data or process gaps need to be fixed before automation is hardened.
LinkedIn
Field notes and takeaways
Operational observations from EAM, interfaces, data quality, applied AI and partner delivery work.
Open LinkedIn Blog
From pilot to production
Longer notes on EAM last-mile work, interface reliability, data readiness, applied AI/ML and practical automation.
Open BlogTopics to explore
Topics from my work
These are service-linked topics, not articles. Use them to understand the problem area, then follow the relevant service path if it matches your situation.
EAM topic
The last mile is where EAM projects usually get expensive
Why work order logic, reports, status flows, interfaces and user workflows often determine whether an EAM setup works in day-to-day operations.
Explore topicInterface topic
A successful API call can still be an operational failure
Operational reliability depends on data meaning, timing, validation, retries, ownership and downstream results—not only an HTTP success response.
Explore topicAI readiness topic
Before an AI pilot, define the decision it should improve
A useful AI/ML use case starts with a real workflow, a baseline, representative data and explicit acceptance and stop criteria.
Explore topicApplied ML prototype
Water-pressure monitoring: separating normal pump cycles from small leak patterns
In a self-initiated prototype, a pressure sensor, Arduino and Linux mini PC captured the time series; ML separated normal water-use and pump-restart cycles from persistent patterns consistent with small leaks.
Explore topicApplied ML prototype
Hoof image screening: flagging visible anomalies for human review
A self-initiated computer-vision prototype used a camera in a barn passage to capture hooves as horses walked past and flag visible irregularities for human review—not to make a veterinary diagnosis.
Explore topicWorkflow topic
Sometimes the useful tool is not another EAM module
Small operational apps can help with requests, checklists, handovers or reporting when the core system should remain stable but day-to-day workflows still need improvement.
Explore topicHave a specific EAM, interface or AI/ML question?
Send the real example. The work is most useful when it is tied to a work order, interface record, data sample, document, decision or workflow.