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Biography · Engineering & Research

Direct engineering. Real systems.

I build production web platforms and applied AI systems that companies actually run. Applied AI researcher graduated from New Mansoura University and peer-reviewed author.

Abdelrahman Karim

Abdelrahman Karim

AI Engineer · Full-Stack Architect · Applied ML Researcher

I am an AI and full-stack engineer based in Mansoura, Egypt, working with founders and technical teams globally. My focus spans two interrelated domains: architecting web systems that remain reliable under real traffic, and engineering applied machine learning models that solve genuine operational constraints rather than chasing benchmarks.

Through my independent software engineering practice, I have shipped over 35 production platforms for clients and companies across the United States, United Kingdom, European Union, Saudi Arabia, United Arab Emirates, Kuwait, and Egypt.

Alongside product delivery, I conduct academic research in deep learning at New Mansoura University, with peer-reviewed publications in Scientific Reports (Springer Nature) and IEEE conferences.

Work with me→Download CVPDFView full career timeline →↓
Quick Facts

Key Facts & Standing

Location:Mansoura, Egypt
University:New Mansoura Univ
Standing:GPA 3.647 (Honors)
Production:35+ platforms · 8 countries
Honors & Competitions6 Recognitions
1st PlaceFeb 2025

Benha National Hackathon for Smart Cities & AI

Benha University & Ministry of Higher Education

Best TeamMar 2025

Finology Fintech Competition

New Mansoura University & Banking Sector Partners

National Finalist (Top 4)Mar 2024

Huawei ICT Competition — Innovation Track

Huawei Egypt & Ministry of Communications (MCIT)

5th PlaceFeb 2024

Benha Hackathon for Artificial Intelligence & IoT

Benha University

15th / 355Jul 2023

International Military Technical College (ICMTC) AI Competition

Military Technical College (MTC)

Finalist2023 – 2024

Egyptian Collegiate Programming Contest (ECPC) & DEBI Robotics

AASTMT & Digital Egypt Builders Initiative

Technical Stack

Skills & Technologies

Languages
TypeScriptPythonSQLC#C++PHPJavaScriptHTMLCSS
Web & Backend Systems
Next.jsReactFastAPINode.jsDjangoTailwind CSSPostgreSQLSupabaseMySQLRESTful APIs
AI & Machine Learning
TensorFlowPyTorchLangChainOpenAI APIHugging FaceNLPComputer VisionSHAP (XAI)RAG Architecture
Cloud, Tools & Infrastructure
NginxPostmanMicrosoft AzureGit & GitHubWordPressFigmaOAuth/JWTRESTful APIsn8nVercelDockerClickUp
Languages Spoken
Arabic · NativeEnglish · Professional
Career Timeline & Track Record

Engineering Experience & Leadership

Track record of architecting production systems, leading engineering builds, and commercial software delivery.

Download CVPDF
Independent Commercial Practice2024 – Present

Freelance Full-Stack & AI Developer

Independent Practice·Mansoura, Egypt / Remote (US, UK, EU, GCC, Egypt)

Architected and deployed 35+ production-ready platforms utilizing Next.js, TypeScript, FastAPI, and Supabase, delivering scalable multi-tenant SaaS, e-commerce, and corporate solutions.

Core Responsibilities & Impact:
  • ▸Architected and deployed 35+ production-ready platforms (including Tartibix, MediaZad, AquaVita, and Gridex) delivering scalable multi-tenant SaaS and corporate solutions.
  • ▸Engineered advanced routing and cloud infrastructure, implementing custom DNS subdomain routing, dynamic paths, and specialized admin verification workflows.
  • ▸Developed comprehensive e-commerce ecosystems, integrating dynamic product configuration flows, payment gateways (Stripe, Tap, Tabby, Tamara, Moyasar), and automated multi-channel inventory pipelines.
  • ▸Managed live deployments and server maintenance, handling Git repositories and resolving production issues for multiple client platforms (e.g., Rukn Al-Nakhwa, Jisr Al-Amal).
  • ▸Integrated Generative AI and LLM APIs into business workflows, designing intelligent conversational agents and automated data processing pipelines.
Next.jsReactTypeScriptFastAPIPythonSupabasePostgreSQLTailwind CSSStripeTapTabbyTamaraMoyasarn8nDocker
Academic Research2023 – 2026

Applied AI & Robotics Researcher

New Mansoura University·New Mansoura, Egypt

Conducted applied artificial intelligence research in NLP and IoT robotics, resulting in peer-reviewed publications in Springer Nature and IEEE conferences.

Core Responsibilities & Impact:
  • ▸Co-authored research on autonomous IoT agricultural robots combining computer vision, edge embedded systems, and environmental telemetry (Scientific Reports, Springer Nature).
  • ▸Conducted experimental benchmark research on Arabic abstractive summarization using Multilingual T5 (IEEE ICCI 2024).
  • ▸Evaluated graph-based, cluster-based, and frequency-based summarization algorithms on Arabic corpora (IEEE MIUCC 2024).
  • ▸Developed Arabic speech recognition system tailored to Egyptian dialect and full-stack EduRobot classroom assistant.
PyTorchTensorFlowTransformers (Hugging Face)mT5OpenCVESP32ROSDjangoFastAPI
Education · Degree2021 – 2026

New Mansoura University

Bachelor of Engineering – Artificial Intelligence Engineering Program · College of Computer Science and Engineering

Graduated 2026 · GPA: 3.647 / 4.00 (Excellent with Honors)Graduated B.Eng. with Honors · Cumulative GPA: 3.647 / 4.00

Key Advanced Coursework (All A+ Attained)

Neural Networks (A+)Computer Vision (A+)Natural Language Processing (A+)Advanced Machine Learning (A+)Optimization Techniques (A+)Big Data Analytics (A+)Deep LearningDistributed SystemsSoftware Engineering
Community · Responsibility

Leadership

Head of AI & Machine Learning Track2024 – 2025

GDG on Campus (Google Developer Groups) · NMU

Led hands-on workshops and lecture series on neural network architectures, PyTorch, computer vision, and deploying models to web applications for 100+ students.

Academic Class Representative2021 – 2026

AI Engineering Program · New Mansoura University

Elected representative across all academic years; mediated between department heads, university leadership, and 60+ engineering students on curricula and laboratory access.

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Work with meDownload CVPDF