MG
Selected work

Work that pairs automation with measurable impact

Every engagement starts with the business outcome. I partner with teams to design the right agentic workflows, instrumentation, and handoffs that keep quality high while reducing operational drag.

Automation

Systems that shrink repetitive operations, keep humans in the loop, and surface the right context automatically.

AI assistants

From retrieval augmented copilots to routing agents, each project pairs LLMs with robust guardrails.

Product velocity

I ship quickly, validate with the team, and iterate until the experience becomes second nature.

Case studies

7 projects

ITL Logistics Egypt: Freight Forwarding Website

01
Next.js 14React 18NodemailerCSS

Modern, professional website for ITL Logistics Egypt, a leading freight forwarding company with global logistics solutions.

Challenge

The company needed a modern digital presence to showcase their services and provide easy quote requests for potential clients.

Solution

Built a 6 page Next.js 14 website with responsive design, an email backend for contact forms and quote requests using Nodemailer, and premium UI with smooth animations.

Live production website with mobile friendly navigation and integrated email functionality

AutoBella: Mobile Car Washing Service

02
Next.jsTypeScriptTailwind CSSshadcn/ui

A modern mobile car services platform bringing professional washing and detailing to customers' doorsteps.

Challenge

Local car wash businesses needed a digital presence to compete with on demand services and manage B2B client memberships.

Solution

Built a full-stack Next.js application with service booking, membership management for both individual and business clients, and a responsive mobile first design.

Live production website serving customers with a streamlined booking flow

MRI Tumor Detection Model

03
PythonTensorFlowDenseNetFlaskOpenCV

AI powered brain tumor classification system for automated medical imaging analysis.

Challenge

Manual MRI analysis is time consuming and prone to human error, requiring specialized radiologist expertise.

Solution

Developed a DenseNet based deep learning model with a Flask REST API for real time tumor classification from brain MRI scans.

Graduation project advancing healthcare AI with automated diagnostic support

AI Support Agent for SaaS

04
PythonLangGraphRAGGemini APIFAISSSemantic Caching

Startup grade AI powered customer support agent with RAG (Retrieval Augmented Generation), semantic caching, and multi agent orchestration using LangGraph.

Challenge

Support teams need efficient automation while maintaining quality and security standards.

Solution

Engineered a multi agent workflow using LangGraph with hybrid RAG, semantic caching, PII detection, and automated escalation.

Production ready architecture with security and observability

Plant Disease Prediction & Recognition

05
PythonTensorFlowCNNSiamese NetworksOpenCV

Deep learning solution for agricultural disease detection with minimal training data.

Challenge

Farmers lack quick diagnostic tools; traditional ML requires large labeled datasets unavailable in agricultural contexts.

Solution

Implemented Few Shot Learning with Siamese Networks and CNNs to achieve accurate disease classification from limited samples.

Accurate classification enabling early intervention with minimal training data

Song Popularity Prediction

06
PythonScikit learnRandom ForestGradient BoostingPandas

Machine learning model predicting song success using audio features and metadata.

Challenge

The music industry needs data driven insights to predict which songs will resonate with audiences.

Solution

Built ensemble models using Random Forest and Gradient Boosting with GridSearchCV hyperparameter optimization.

Actionable insights for music analytics with optimized ensemble methods

ECM Automation Suite

07
PythonLangGraphGemini APIARIS BPMAzure AI

Enterprise document automation system streamlining content management workflows.

Challenge

Manual document processing in enterprise environments is slow, error prone, and resource intensive.

Solution

Developed intelligent document generation and retrieval pipelines using LangGraph agents with Gemini API integration.

40% reduction in document processing time, streamlined enterprise workflows

Want results like these?

I take on a limited number of freelance projects at a time.

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