Adham Ashraf Salah

Adham Ashraf Salah

AI Developer | Machine Learning Engineer

Embedded Systems Specialist

adhamashraf0114208@gmail.com
+20 114 208 7556
El-Fath City, Shoubra El-Kheima, Qalubya, Egypt
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About Me

I'm an aspiring AI/ML Engineer passionate about transforming data into intelligent systems. I specialize in machine learning, embedded development, data visualization, and real-world problem-solving. With hands-on experience in Python, TensorFlow, Arduino, and Power BI, I've built impactful projects like predictive apps, robotics, and recommender systems. I'm constantly exploring emerging technologies—especially large language models, embedded AI, and GenAI—and enjoy working in fast-paced, innovative environments.

Skills & Expertise

Programming & Tools
Python
C
Embedded C
Arduino
STM32
Raspberry Pi
SQL
Streamlit
Flask
Docker
Git
Libraries & Frameworks
TensorFlow
Keras
PyTorch
Scikit-learn
OpenCV
Numpy
Pandas
Matplotlib
Seaborn
AI/ML Concepts
Machine Learning
Deep Learning
Generative AI
NLP
Recommender Systems
Computer Vision
Data Tools
Power BI
Data Cleaning
Feature Engineering
SHAP
Model Evaluation
Soft Skills
Problem Solving
Teamwork
Communication
Leadership
Time Management

Education

Benha Faculty of Engineering
Communication and Computer Engineering • 2021 – Present

Certifications

IBM Machine Learning Professional Specialization
Coursera • Aug 2024
Machine Learning Specialization
DeepLearning.AI & Stanford University • Sep 2024
Generative AI – Training of Trainers (TOT)
Sprints + IOM Egypt + MCIT • Feb 2025
Data Analysis Nanodegree
Udacity & 1 Million Arab Coders • Jul 2025
Connect – Intro to Programming
Udacity • Jun 2019
Introduction to Relational Databases & SQL
Coursera • Apr 2020

Internships & Scholarships

HCIA AI Program
NTI & Huawei Talents Academy • Jun–Jul 2025
AI Scholarship
ITI, Ministry of Communications & IT • Oct–Nov 2024
ML & DL Scholarship
National Telecommunication Institute • Oct–Nov 2024
GenAI + ToT Program
Sprints, IOM Egypt, UK Development • Apr–May 2025

Featured Projects

Diabetes Detection Project
Neural network predicting diabetes with 82% accuracy. Features engineering, outlier removal, and SHAP for explainability. Future plan includes Streamlit real-time dashboard.
Python
TensorFlow
SHAP
Neural Networks
Credit Card Approval Prediction
Achieved 98% recall & accuracy using Random Forest. Key features: income, family size, employment length. Suggested regression-based extension for credit limit prediction.
Python
Random Forest
Scikit-learn
Feature Engineering
Course Recommender System
Content-based & collaborative filtering using BoW, KNN, PCA. Enhanced learner experience with personalized suggestions.
Python
KNN
PCA
Recommendation Systems
NREGA Power BI Dashboard
Tracked government program KPIs using Power BI. Visual insights into employment trends and program effectiveness.
Power BI
Data Visualization
KPI Tracking
Line Follower Obstacle Avoiding Robot
Arduino + C implementation with no simulation. Real-time navigation using sensors for autonomous movement.
Arduino
C
Embedded Systems
Sensors
Smart Lock System (STM32)
Biometric access control with embedded system design. Secure hardware integration for access management.
STM32
Embedded C
Biometrics
Security

Testimonials

"Adham is technically sharp and very reliable—his AI models always perform well."

— Project Collaborator

"Excellent work on the STM32-based smart system. Highly recommended."

— Technical Supervisor

Let's Build Your Next Intelligent Solution

Ready to transform your ideas into AI-powered reality? Let's collaborate!

adhamashraf0114208@gmail.com+20 114 208 7556
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