I'm Ilham Dyki Mu'ahfi, an AI Engineer based in Jakarta. My route into machine learning went through telecommunications operations rather than research — three years of project validation, provisioning data and security consulting before formalizing the AI side academically.

The model is the easy part. The data describing reality accurately is the hard part.

That belief comes from experience rather than principle. At Telkomsel I handled a document archive where the same technical fact could be recorded three different ways. At Telkom Akses I worked five hundred cases where service activation failed because two systems disagreed about a customer. In both, the interesting problem was never the algorithm — it was establishing what was actually true.

The consulting year at Aktuator Cipta Cendekia added something different. Implementing ISO 27001 for enterprise clients meant learning how organizations adopt controls, and why technically correct solutions fail when nobody's trained on them. As AI moves into regulated industries, that turns out to be unusually relevant.

I'm now completing a Master of Informatics Engineering at BINUS University with an artificial intelligence focus, alongside a data analytics bootcamp at Dibimbing — pairing formal machine learning theory with operational grounding. I'm looking for AI engineering and data roles where both halves matter.

• Python
• SQL
• Machine Learning
• Tableau
• Power BI
• Data Management
• ISO 27001
• Cloud Security
• AI Prompting
• Network Engineering