AI & Full-Stack Developer
Building Intelligent Experiences
I specialize in developing applications that combine Artificial Intelligence, Computer Vision, and Full-Stack Web Development. My passion is transforming complex real-world problems into scalable, interactive, and production-ready software solutions.
import asyncio
import websockets
import json
# OpenAI API to ComfyUI Bridge
async def send_to_comfy(prompt_data):
url = "ws://localhost:8188/ws"
async with websockets.connect(url) as ws:
payload = {
"prompt": prompt_data,
"client_id": "local_stack_bridge"
}
await ws.send(json.dumps(payload))
return await ws.recv()Bridging AI with Thoughtful Engineering
I am Mohamed Elhassan, an AI & Full-Stack Developer passionate about designing intelligent software that delivers practical value.
My work focuses on integrating Machine Learning, Computer Vision, and modern web technologies into seamless user experiences. I enjoy building complete systems—from data collection and model training to backend APIs and responsive frontend interfaces.
I approach every project with an emphasis on clean architecture, maintainability, performance, and user experience. Currently, my primary interests include Arabic Sign Language Recognition, automation systems, offline-first local applications (like Ollama + ComfyUI Stacks), and scalable web platforms.
AI & Computer Vision
Developing offline-first intelligent setups (Ollama, Gemma 3), custom API bridges, and hand-landmark gesture classifiers (MediaPipe, TensorFlow Lite) with up to 99% accuracy.
Full-Stack & DevOps
Building clean Flask backends, responsive HTML/CSS/JS layouts, multi-role auth portals, and local deployments using Arch Linux, Docker Compose, and Nginx Proxy Manager.
Education & Journey
- Computer Education Student, Mansoura University (Expected 2027)
- Web Development Scholarship (Ministry of Communications & Coursera)
- Roller Skating Coach & Assistant Manager (2022 - Present)
My Technical Toolkit
Programming Languages
Artificial Intelligence
Full-Stack & Tools
Showcase of Intelligent Systems
Ishara — Arabic Sign Language Translator
An end-to-end AI translation system designed to translate Arabic Sign Language into text and speech, and vice versa. Built with a Flask backend, MediaPipe for 21-hand-landmark tracking, and TensorFlow Lite for fast, client-side classification achieving 93% accuracy across 29 letters. Includes custom logging and user security.
Egyptian Foreign Trade Portal
A comprehensive, production-ready government SaaS web platform built for exporters, importers, and investors. Features a fully RTL Arabic interface with 17 custom-designed pages, a multi-role authentication system, dynamic dashboards, WCAG accessibility compliance, and thorough backend API integration documentation.
Local AI Stack — Integrated Ollama & ComfyUI
An integrated environment to run advanced AI models locally on consumer hardware (RTX 3050 6GB). Features a custom Python bridge translating OpenAI-compliant requests into ComfyUI WebSocket tasks. Successfully handles memory optimizations, Docker-to-Host networking, and local model inference workflows.
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Have an exciting project in mind or want to collaborate on AI-driven web systems? Drop me a message and let's build something remarkable.