Faramarz Ahmadi

Engineer Faramarz Ahmadi · M.Sc. Industrial Engineering

01 · AI

AI & Neural Networks

Neural network design and practical AI for real business decisions.

3D render of a glowing multi-layer neural network with cyan and violet nodes connected by light threads3D render of glowing data bar towers on a grid with luminous data streams flowing overhead3D render of a layered enterprise architecture diagram: translucent platforms with connected glowing modules3D render of floating browser windows filled with colorful code lines between glowing angle brackets3D render of a chain of glowing translucent blocks above rows of illuminated crypto mining rigs
~24years

of experience in the automotive industry

12fields

of expertise, from process engineering to AI

5core

specialties, one clear partner

M.Sc.

Industrial Engineering

3D render of a layered enterprise architecture diagram: translucent platforms with connected glowing modules
About

Over two decades of industry, a toolkit for the data era

I hold a master’s degree in industrial engineering and have about 24 years of experience in the automotive industry: supply and production planning, logistics, production control, quality, sales networks and software design. Today I combine that operational depth with data mining, text mining, web crawling and neural network modeling.

Read my story
Insights

Latest posts

  • Getting Bad News to Management Early
    Green averages hide trouble until Friday. How an exception (alerting) dashboard surfaces owned, aged breaches early—with an illustrative example and a two-week starter path.
  • Why AI Pilots Stall Before the Shop Floor
    The demo worked, but nobody on the line uses it. Seven gaps between an AI pilot and production—data plumbing, ownership, process change, trust, metrics, MLOps, MES/ERP integration—with an illustrative example and a production readiness scorecard.
  • Master Data Ownership Before ERP–MES Integration
    ERP–MES projects stall when nobody owns BOM, routing and work centers. Name a RACI and system of record, score mismatches, control changes—then connect the pipe. Illustrative example with mismatch counts and rework hours.
Contact

Let’s build something measurable

Need advice on any of the topics above? Send a message, or reach me on social media.

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