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Mohammad Al-Araidah
01 / Professional portfolioRev 2026.09

Mohammad Al-Araidah

محمد العرايضة · Engineer & Technical Program Leader

Engineering Operations.
Leading Transformation.
Building Intelligent Systems.

I connect manufacturing operations, enterprise technology, and data to solve complex business problems.

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Selected work

From physical operations to intelligent systems.

Professional experience and personal product development, with the methods and evidence behind each.

Featured work / 01

Professional

Manufacturing & Operations

Signify · Professional experience

From recurring defects to a process that holds its gains. Root-cause analysis, statistical process control and standard work on high-volume production lines.

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Process performance / Signify

15%less scrap
Before · normalized100
After85
  1. 01
    Verify data
  2. 02
    Isolate cause
  3. 03
    Control drift
Summary of the published case. Index illustrates the reported reduction; it is not a production dataset. Employer records are not reproduced.

Featured work / 02

Professional

Enterprise Transformation

Flowserve · Professional experience

Connecting engineering, planning, production and quality through an end-to-end SAP S/4HANA readiness program across two industrial pump plants.

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End-to-end validation / SAP S/4HANA

  1. 01 / Engineering release

    Engineering · BOM + routing approved

  2. 02 / Plan & procure

    Planning / Supply Chain · Material requirements validated

  3. 03 / Produce & inspect

    Operations / Quality · Execution + inspection verified

  4. 04 / Ship & reconcile

    Logistics / Finance · Release + financial posting checked

Closure gate: owner → corrective action → evidence → retest → site sign-off

Illustrative process and functional ownership, abstracted from the published method. No employer configuration or validation records are shown.

Featured work / 03

Personal Product

AutoOps AI

Founder & Product Engineer · Personal product development

Building a reasoning layer over manufacturing information. A product shaped by 35 discovery interviews and a 20-user pilot, with beta workflows and explicit integration limits.

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AutoOps AI / Architecture summary

Documents & records
Uploaded context
SAP connector
Primarily mock-tested
  1. 01Structured manufacturing context
  2. 02Retrieval & AI reasoning
  3. 03Quality workflows + cited output
Diagram based on the existing product case study, not a live system view. Workflow features are beta; production SAP readiness is not established.
Explore all work and independent studies →

Impact, with context

Selected professional impact.

Realized savings

$180K

Value-stream improvement

Captured by a parallel Signify value-stream mapping program. Separate from the scrap-reduction result.

Projected financial benefit

$1.3M

Production-layout simulation

Tenneco layout analysis. Projected savings; not presented as realized financial benefit.

Operational scale supported

$200M+

Two industrial pump plants

Scope of Flowserve operations supported by SAP manufacturing readiness. Not savings generated.

Measured process improvement

15%

Manufacturing scrap reduction

Signify production improvement. Separately: 20% higher utilization and 18% lower changeover time.

Figures are reported in the existing professional record; underlying employer records remain confidential. The utilization improvement carries a separate $250K+ projected annual benefit. Financial projections and realized savings are not combined.

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Interactive engineering lab

Synthetic demonstrations

See the system. Try a decision.

Three ways into one fictional factory. Change an input, inspect the evidence and compare the result.

Explore all eight demonstrations

IE / Explore

Baseline factory layout and valve transfer routeExisting 32 by 20 metre factory. The blue line follows the modeled aisle route from machining M1 to kitting K1.R1Q1M1K1A1T1D1
Baseline geometry · M1 → K1 loaded route

Improve the factory layout

How does the arrangement change loaded travel?

ML / Explore

Frozen logistic model holdout results144 synthetic batches: 9 positive batches flagged, 14 missed positives, 1 false flags and 120 true negatives. At the reference 20 percent inspection threshold.9Positive flags14Missed positives1False flags120True negatives
Logistic reference · 144 held-out synthetic batches

Predict batch risk

Which positive batches does the model miss?

OR / Explore

Existing production simulation policy comparisonAt 16 requests per operating week, saved 20-run synthetic means are 9.34, 11.61, 15.68 production-complete skids per week. These are simulated flow exits, not quality approvals.1 assembly worker9.32 balanced workers11.6+ second test stand15.7
Saved simulation · output / operating week at 16 requests

Balance production flow

What happens when the bottleneck moves to test?

All scenarios, records and results shown here are synthetic. Reference previews are separate from your active scenario, professional experience and AutoOps AI.

The person behind the work

An engineer who follows the problem across disciplines.

My path connects industrial engineering, continuous improvement, operational analytics, data engineering and manufacturing leadership. That experience shapes my SAP readiness work and personal product development through AutoOps AI.

Read my story →