I build things for Flutter Apps|
AI Engineer & Full Stack Developer specializing in AI Models, Flutter, Node.js backends, and IoT systems. I bridge the gap between AI research, scalable digital interfaces, and hardware prototyping while mentoring the next generation of coders.
AI / Full Stack / Embedded
Core Stack
I'm a developer who obsesses over the details most people ignore. From designing highly responsive Flutter interfaces that scale gracefully to architecting robust IoT hardware integrations and cutting-edge AI models — I believe code should be as functional as the problem it solves.
Currently studying Computer Science and Artificial Intelligence at E-JUST (Egypt-Japan University of Science & Technology) and working as a Programming & Math Instructor at iSchool. Fluent in Arabic and working towards my English C2 and Japanese N3 goals, I collaborate effectively across multidisciplinary tech teams. Whether training YOLO AI models for computer vision, deploying PyTorch medical imaging pipelines, or building solid Node.js backend architectures, I maintain a strong commitment to continuous growth.
Expertise in PyTorch, Computer Vision, Siamese tracking, and fine-tuning LLMs.
Building pixel-perfect, highly responsive mobile apps utilizing Flutter and Dart.
Developing scalable infrastructure utilizing Node.js, Express.js, and FastAPI.
Fostering engineering foundations by teaching programming to the next generation.
A showcase of embedded systems, AI, and mobile development.
Camera A (SOT)
Intersection Stats
Current Car Count
42
Congestion Status
HIGH
Signal Override
An integrated prototype utilizing AI cameras and ultrasonic sensors. Features a custom Single-Object Tracking (SOT) model to identify and prioritize emergency vehicles, triggering signal overrides while feeding live car counts and congestion states to a mobile admin interface.
End-to-end 3D CT segmentation pipeline using MONAI and 3D U-Net on the KiTS dataset.
Future<Diagnosis> analyzeBreathData() async { final data = await sensorApi.getVocLevels(); if (data.co_ppm > threshold) { return MLModel.predict(data); } }
A diagnostic mobile application leveraging breath analysis data. Visualizes VOCs and physiological monitoring stats for early detection.
Compliance and health management system designed for educational institutions. Facilitates real-time incident reporting and safety audits.
iSchool | Sep 2024 — Oct 2024
Teaching young learners programming languages and robotics, fostering creativity, and mentoring them to build games and web applications.
Independent | 2022 — Present
Delivering end-to-end, cross-platform mobile solutions and scalable Node.js backends. Handled full lifecycles for over 20 embedded and mobile projects. Implemented MLOps practices into real-world data pipelines and constructed comprehensive architecture for clients.
E-JUST | Dec 2024 — Present
Guiding university students in fundamental electronics, embedded programming, circuit design, and sensor integration. Conducting technical workshops on Arduino, ROS, OpenCV, and SLAM.
E-JUST | Expected 2027
Major in Artificial Intelligence. High academic standing (Excellent). Extensive coursework in Deep Learning, NLP, Computer Vision, and System Architecture. Active participant in the E-JUST Robotics Club navigating autonomous systems.
DEPI | Oct 2024 — Present
Intensive training at Digital Egypt Pioneers Initiative focusing on scalable Backend API design, database modeling, and large-scale data architectures.
Location
Cairo, Egypt
alihmdy777@email.com
Response
Usually within 24 hours