Looking for a job

محمد هشام

@0006598

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I build AI-driven predictive maintenance and real-time computer vision applications.

Egypt

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What I'm looking for

I'm looking to apply AI, machine learning, computer vision, predictive maintenance, and IoT experience to real-world systems and data-driven products.

I've built an AI-driven predictive maintenance system for lithium-ion batteries, estimating State of Charge and State of Health using XGBoost, Random Forest, LSTM, NASA datasets, and real-time Arduino sensor readings. My State of Charge model achieved R² greater than 0.99.

I've also developed real-time computer vision applications with Python, OpenCV, MediaPipe, and dlib, alongside an IoT-based DC motor predictive maintenance system at the University of Greenwich.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Fundamentals

Cairo

Mar 2026 - Apr 2026 (1 month)

Covered core concepts of artificial intelligence including machine learning, data analysis, and real-world AI applications.

Machine Learning Data Analysis AI

AI-Driven Predictive Maintenance System

Lithium-Ion Batteries

Mar 2025 - Oct 2025 (7 months)

Developed an AI-driven predictive maintenance system for estimating State of Charge and State of Health of lithium-ion batteries, achieving R² > 0.99 for SoC prediction.

XGBoost Random Forest LSTM Python data preprocessing Feature Engineering Time Series Analysis Arduino Sensor Data Predictive Maintenance

Human-Computer Interaction & Computer Vision

Computer Vision

Oct 2024 - Feb 2025 (4 months)

Developed an interactive computer vision application combining face recognition, emotion detection, hand gesture recognition, and eye gaze tracking.

Python OpenCV Mediapipe Dlib C#TCP IP Eye Tracking Face Recognition Emotion Detection Gesture Recognition

Digital Twin Tech Workshop

University of Greenwich

Aug 2024 - Aug 2024 (0 months)

Designed an IoT-based DC motor predictive maintenance system using ESP8266, built a web-based logging and control system, and applied IoT security techniques.

IoT ESP8266 Proteus Wireshark Python Time series Forecasting Data Analysis Jupyter Notebooks Critical Path Project Management IoT Security Risk Assessment Threat Analysis

iOS Development Training

Information Technology Institute (ITI)

Jul 2024 - Aug 2024 (1 month)

Completed 120 hours of structured technical training covering six modules, developed iOS applications using Swift and UIKit, and integrated REST APIs.

Swift UIKit REST APIs iOS