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Industrial Automation System for Smart Meter Production
Category: Technical Project Management | Software Development
Overview:
PT. EDMI Manufacturing Indonesia produces smart meters for utilities worldwide. Their existing calibration process was a bottleneck — testing meters one by one couldn't keep up with production demand. They needed a system that could dramatically increase throughput without compromising accuracy.
My Role:
I led development initiatives for industrial automation and manufacturing calibration systems, working at the intersection of software engineering and factory operations. This meant collaborating daily with engineering, QA, and manufacturing teams to ensure what we built actually worked on the production floor.
What I Delivered:
Parallel Testing Platform: Designed and delivered a meter calibration platform capable of testing 48 devices simultaneously. This wasn't just a software upgrade — it required rethinking the entire test architecture.
Mass Firmware Upgrade Solution: Developed a solution for upgrading firmware across large device fleets, reducing field service time and operational downtime for utility clients.
License & Configuration Management: Implemented centralized license management and configuration services, improving system auditability and operational security.
Production Coordination: Synchronized software releases with production timelines to minimize disruption to factory operations. A failed deployment on the production floor has immediate financial impact.
Outcome:
Manufacturing throughput increased significantly — the factory could now meet growing global demand. The firmware upgrade solution reduced field service costs for clients and became a competitive differentiator.
Skills: Software Development Leadership, Industrial Systems Integration, Production Coordination, Technical Architecture
Tools: C#, .NET, SQL Server, Industrial Automation Systems
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AI has dramatically lowered the barrier to building software.
Today, a 10-year-old can build a decent website with AI, and someone with little technical experience can automate business processes in just a few days using no-code tools or AI assistants.
Building something is no longer the hard part.
The real challenge is making sure it still works weeks or months later.
Will the automation survive API updates? CRM changes? New business requirements? Will it scale? Will it fail gracefully when something goes wrong at 2 AM?
That's where Software Engineers make the difference.
Their value isn't in creating the first version - it's in building systems that are reliable, maintainable, scalable and resilient long after the demo is over.
Anyone can build an automation.
Building one your business can trust every day is a different skill entirely.
Ironically, this very post was crafted with AI.
AI can write.
AI can code.
AI can automate.
But AI doesn't have foresight.
Every great product, automation and system still needs a far-sighted Software Engineer - someone who thinks beyond today's task, anticipates tomorrow's challenges and designs solutions that continue working when the business depends on them most.
AI accelerates execution. Foresight engineers the future.
