FULL-STACK
& AI ENGINEER
I build intelligent applications end-to-end — from Flutter mobile clients to Django backends and production ML & LLM systems.
TECHNICAL STACK
AI & Machine Learning
LangChain, RAG pipelines, PyTorch, and gradient-boosting ensembles (XGBoost / LightGBM / CatBoost) — trained and shipped in real products.
Backend Engineering
Django & DRF with async architecture: WebSockets (Channels), Celery, Redis, PostgreSQL, and Docker.
Cross-Platform Mobile
Flutter with BLoC and Clean Architecture — polished, production-grade apps from a single codebase.
SELECTED WORKS
Ursa
TasteCraft AI
AgriSphere
Ursa
An AI-driven health companion and smart triage platform. Users describe symptoms in natural language; the system analyzes them against habits and wearable vitals, then triages the case and generates a documented medical report. Built two ML models — a diagnosis ensemble (246K+ records, 721 conditions, 98% Top-5) and a triage model (94% critical-case recall) — plus a medical RAG pipeline with strict safety guardrails.
TasteCraft AI
A full-stack AI culinary and nutrition platform: smart recipe discovery, automated calorie tracking, personalized meal planning, and a voice-enabled AI chatbot — with full Arabic/English (RTL/LTR) support.
AgriSphere
A machine-learning application that serves farmers: guidance on optimal planting times and diagnosis of plant diseases from data, helping improve yield and reduce crop loss.
LET'S CONNECT
Open to remote Full-Stack / Backend / AI roles.