AMR.ALFAYOUMY
// Portfolio dossier
FILED 2026.06.07 / CAIRO, EG

Amr Alfayoumy.

I build production AI systems, decisioning pipelines, and automation layers that move from ambiguous problem statements to trusted delivery across government, banking, telecom, and enterprise programs.

Cairo, Egypt
End-to-end ownership across AI, data, and automation delivery
BSc Computer Engineering, highest honors (summa cum laude) · Nile University
Current role: AI/ML Engineer @ Accord Business Group · Consulting with SAS and MAGNOOS

// Executive summary

Data Scientist, AI Engineer, and Automation Specialist building production-grade LLM applications, fraud analytics, ML systems, and reporting platforms with hands-on ownership from technical discovery through production delivery.

// Actions
Browse projects Hire brief LinkedIn Email
// Positioning

I operate where machine learning, LLM products, data engineering, and workflow automation have to hold up under delivery pressure, stakeholder scrutiny, and production constraints.

§02
// ABOUT
WHO I AM

I build AI systems that connect research-grade modeling with production delivery. My recent work spans multilingual conversational AI, agentic reporting systems, fraud and AML analytics, and large-scale modernization programs. Earlier on, I worked deeply on applied machine learning research in human activity recognition, indoor positioning, cyber-physical security, computer vision, and medical imaging.

I care most about practical AI: systems that solve real workflow problems, stand up in production, and make technical decisions easier for the people using them.

Trusted in regulated contexts

Recent delivery spans government, banking, payments, telecom, and enterprise environments where reliability, explainability, and execution discipline matter.

Owns more than models

I work across solution framing, data flows, modeling, reporting automation, stakeholder translation, and production rollout rather than stopping at experimentation.

Business-facing execution

I translate technical complexity into working systems, clearer decisions, and delivery plans that stakeholders can understand and support.

§03
// IMPACT
DELIVERY PROFILE

Production delivery across AI, data, and automation.

My work spans solution framing, machine learning, LLM applications, reporting automation, and enterprise delivery across government, banking, telecom, and research-heavy environments.

01 / Problem framing

I turn vague asks into delivery plans.

Consulting and client-facing work across SAS, MAGNOOS, and ABG sharpened the habit of translating stakeholder pressure into practical roadmaps, technical decisions, and implementation steps.

02 / Production AI

I ship systems that have to survive contact with reality.

That includes multilingual conversational AI, RAG-backed reporting platforms, fraud detection, AML anomaly scoring, ETL-heavy workflows, and modernization programs tied to real delivery milestones.

03 / Cross-stack leverage

I connect data, models, and automation.

The value is in bridging data engineering, ML, LLM application design, analytics workflows, and reporting automation so teams do not need separate people for every handoff.

04 / Delivery context

I work in environments where execution has to be defensible.

That means regulated domains, stakeholder scrutiny, operational constraints, and systems that need to be reliable enough for real production use.

§04
// TIMELINE

The path, replayed from origin.

The experience sequence follows the work stack first: Accord Business Group, then SAS, then Magnoos, then ITplicity, then Nile University, and then the earlier Elite Class Institute chapter.

2024
● Current
Aug 2024 - Present
Full-time
Remote · Dubai, UAE

AI/ML Engineer Accord Business Group (ABG)

Leading the delivery layer for multilingual conversational AI, automated reporting, fraud analytics, and enterprise modernization programs across government, telecom, and banking clients.

01
Built EAD Mynd and the State of Environment reporting platform for Environment Agency - Abu Dhabi, covering multilingual avatar AI, memory-enabled RAG, reporting automation, and production operations.
→ UAE delivery across production AI systems
02
Work across regulated analytics and enterprise AI programs spanning modernization, anomaly detection, fraud workflows, and production reporting across distributed delivery stacks.
→ substantial authorship across modernization and fraud delivery
2025
Aug 2025 - Present
Consulting
Remote · Riyadh, KSA

Technical Consultant SAS Middle East

Provide technical consulting support for enterprise analytics programs, solution framing, and implementation planning in delivery-heavy environments.

01
Support technical discovery, architecture framing, and implementation planning for SAS-led fraud and financial crime programs, including Bank Muscat Meethaq AML anomaly detection and CRDB fraud detection.
02
Translate stakeholder requirements into practical execution plans aligned with business, delivery, model-governance, and production constraints across regulated banking environments.
2025
Nov 2025 - Present
Consulting
Remote · Abu Dhabi, UAE

Technical Consultant MAGNOOS - Midis Group (MAG)

Support technical consulting engagements across enterprise analytics, solution delivery, and cross-functional execution with client-facing teams.

01
Contribute to solution design, architecture discussion, and implementation planning for MAGNOOS delivery work, including the Mobily AI/ML modernization program.
02
Help move requirements into production-ready execution across migration planning, analytics workflows, and stakeholder-facing delivery streams.
2024
May 2024 - Nov 2024
Cairo, Egypt

Data Engineer ITplicity (ITP)

Owned integration and migration efforts on NetSuite ERP and CRM systems, with an emphasis on reliable ETL, validation, and cross-team delivery.

01
Improved data accuracy through validation, cleaning, and migration controls across integration-heavy delivery work.
02
Optimized ETL pipelines and migration workflows for faster, more reliable transfers and cleaner downstream data operations.
2022
Mar 2022 - Aug 2024
Giza, Egypt

AI Research Assistant Nile University (NU)

Led applied research across healthcare, IoT, computer vision, and cyber-physical systems, with work that later fed directly into production-minded ML thinking.

01
Designed and evaluated systems for human activity recognition, industrial anomaly detection, and indoor positioning with real-time monitoring workflows.
02
Built research systems with deployment-oriented thinking across medical imaging, BLE positioning, and cyber-physical security data.
2021
Earlier chapter
Remote · Kuwait

Teaching & Instruction Elite Class Institute

An earlier instructional chapter that sharpened communication, mentoring, and the ability to make technical concepts clear and teachable.

01
Supported students with structured learning, clearer technical explanations, and a more systems-oriented way of approaching quantitative and technical problem solving.
§05
// EDUCATION
DEGREE AND CERTIFICATIONS
Aug 2019 - Feb 2023

BSc in Computer Engineering

Nile University · Giza, Egypt

Graduated highest honor student (summa cum laude) with a cumulative GPA of 3.92.

  • →Built a strong foundation in machine learning, deep learning, software engineering, data science, and applied research.
  • →Combined academic training with practical work across dashboards, mobile apps, IoT systems, and deployable AI projects.
Licenses & certifications
Dataiku MLOps Practitioner Dataiku Advanced Designer Dataiku ML Practitioner Dataiku Core Designer SAS Certified Specialist: Machine Learning Using SAS Viya Angular Development Cross-Skilling Digital Technology Data Analytics Program Neural Networks and Deep Learning Introduction to Machine Learning Machine Learning Developer by Google Software Engineering Virtual Experience Machine Learning with Python Introduction to IoT Machine Learning Foundations: A Case Study Approach Introduction to Cloud Identity Python Fundamentals Machine Learning Fundamentals with Python Learn to Code for the Web Python for Machine Learning Introduction to Creative AI Fundamentals of Digital Marketing Data Science Math Skills Managing Machine Learning Projects with Google Cloud Getting Started with AWS Machine Learning
§06
// WORK
SELECTED CASE STUDIES
Selected work across production AI systems, fraud analytics, enterprise modernization, and applied research.
PRODUCTION 01 / 09

EAD Mynd · Avatar Conversational AI.

2024-2025 · Multilingual conversational AI

Production multilingual avatar AI with Arabic and English support.

Read the case study →
PRODUCTION 02 / 09

EAD State of Environment Report Platform.

2024-2025 · Automated reporting system

Automated environmental reporting with multi-agent orchestration.

Read the case study →
ACTIVE PROGRAM 03 / 09

Mobily AI/ML Modernization.

2025-Present · Enterprise modernization

Large-scale SAS-to-Dataiku migration for telecom analytics.

Read the case study →
PRODUCTION 04 / 09

Bank Muscat Financial Crime - Behavioral Anomaly Detection.

2025-Present · AML and anomaly detection

Enterprise AML anomaly detection for conventional and Meethaq banking workflows with explainable production scoring.

Read the case study →
ACTIVE DELIVERY 05 / 09

CRDB Bank - ML Fraud Detection (Tanzania).

2025-Present · Fraud analytics

Production-scale fraud detection across multi-channel banking data.

Read the case study →
ACTIVE DELIVERY 06 / 09

Confidential Client - Fraud Risk Scoring (KSA).

2025-Present · Fraud risk scoring

Real-time onboarding scoring plus behavioral fraud risk modeling for digital payments.

Read the case study →
RESEARCH 07 / 09

SWaT Cyber-Physical Security Detection.

2023-2024 · Deep learning for industrial security

Deep learning for cyber-physical anomaly detection in industrial systems.

Read the case study →
RESEARCH 08 / 09

Real-time Human Activity Recognition.

2022-2023 · Deep learning and IoT

Wearable-sensor HAR with real-time monitoring and dashboarding.

Read the case study →
RESEARCH 09 / 09

Real-time Indoor Positioning System.

2022-2023 · Applied machine learning

BLE indoor positioning paired with activity-aware monitoring.

Read the case study →
§07
// BLOG
CHALLENGES, SOLUTIONS, OPINIONS
NOTES · NEWEST FIRST

The working notes.

A place for practical writeups on hard delivery problems, the fixes that held up, and opinion pieces on AI systems, ML engineering, fraud analytics, and automation work.

02 Draft
Field note

What fraud models need before the model is the problem.

A practical breakdown of feature history, cohorting, investigator workflows, false-positive pressure, and why explainability starts in the data design.

Open writing index →
03 Draft
Opinion

Automation should remove handoffs, not judgment.

An opinion piece on where AI automation helps most: compressing repetitive work while keeping expert control visible and auditable.

Open writing index →
View all notes
§08
// FAQ
QUICK ANSWERS
FOR RECRUITERS, CLIENTS, AND TEAMS

The quick answers.

The first conversation usually covers the same core questions. This section gives the concise version up front so people can understand how I work, what I build, and where I add the most value.

Q 01 What kind of AI work does Amr do? +

A mix of production generative AI, traditional machine learning, deep learning, and data engineering. The through-line is practical delivery: building systems that ship, scale, and support real users or analysts.

Q 02 What is his recent focus? +

Recent work centers on multilingual conversational AI, agent-based reporting systems, fraud and AML analytics, and enterprise platform modernization across SAS, Dataiku, Spark, and cloud infrastructure.

Q 03 Does he only work on production systems? +

No. His portfolio also includes strong applied research work in healthcare, IoT, indoor positioning, industrial anomaly detection, and computer vision. That research background shows up in how he structures production ML systems.

Q 04 What makes his portfolio different? +

It combines research depth with enterprise delivery. The same portfolio includes deep learning work, large-scale data pipelines, MLOps-heavy modernization, multilingual LLM applications, and stakeholder-facing reporting platforms.

§09
// CONTACT · OPEN COMMS
STDIN OPEN

Want to build something serious?

Practical AI systems. Fraud and AML analytics. Enterprise data platforms. I am based in Cairo, available for serious AI work, and fast to reach. Pick a command:

amr@field-report ~ % ● ONLINE
$ open comms
# Or just email amr.alfayoumy@outlook.com
EOF · END OF TRANSMISSION
© 2026 AMR ALFAYOUMY FIELD REPORT V2026.06