// Hello, World! I'm
Ahmed Ashraf
AI & Machine Learning Engineer
Shebin Al-Qanater, Al-Qalyubia, Egypt
+20 1097436928
01. About Me
I am an AI & Machine Learning Engineer with a strong foundation in AI and Computer Science. I specialize in designing, developing, and optimizing ML and DL models to tackle complex problems in NLP, Computer Vision, and predictive analytics.
Proficient in transformer-based architectures (LLMs) and experienced in MLOps for building scalable, production-ready AI systems. I am passionate about innovation, data-driven decision-making, and delivering impactful, business-focused AI solutions.
Education
Bachelor of Computer Science and Artificial Intelligence
Benha University (Graduated 2024)
GPA: 3.76 / 4.0
AI / ML Training Program
Information Technology Institute (ITI), Menoufia, Egypt (Aug 2023 – Oct 2023)
02. Technical Skills
Languages
ML & DL
NLP & LLMs
Computer Vision
Data & MLOps
Soft Skills
03. Experience
AI & ML Engineer Intern
Electropi (Cairo, Egypt)
- Conducted sentiment analysis on Amazon reviews using LSTM models to extract customer insights.
- Enhanced pneumonia diagnosis accuracy in chest X-ray images by applying CNNs.
- Developed neural network models for market segmentation to improve customer targeting.
- Built unsupervised models (KMeans, Agglomerative Clustering) for personalized marketing strategies.
- Classified disaster-related tweets using NLP techniques (Word2Vec, GloVe, TF-IDF).
- Automated machine learning workflows using PyCaret, improving deployment efficiency.
- Performed exploratory data analysis (EDA) on Airbnb listings to extract actionable insights.
Data Science Intern
TechnoHacks EduTech (Nashik, India)
- Developed ML models for email spam detection using Scikit-learn and NLP techniques (TF-IDF, CountVectorizer).
- Analyzed sentiment in social media posts using NLTK and spaCy to extract audience insights.
- Built predictive models to forecast employee turnover and optimize retention strategies.
04. Featured Projects
Machine Learning
Heart Disease Prediction
Ensemble ML models with advanced preprocessing pipelines to improve prediction accuracy for heart disease risk assessment.
- Ensemble ML
- Preprocessing
- Healthcare
Airline Passenger Satisfaction
Predicted passenger satisfaction using classification with feature engineering, visualized with Power BI dashboards.
- Classification
- Feature Eng
- Power BI
Liver Disease Prediction
ML models to predict liver disease from patient records, enabling early and accurate clinical detection.
- ML
- Healthcare
- Prediction
Deep Learning
Brain Tumor Detection
CNN to classify brain tumors from MRI scans with high accuracy, aiding early and reliable medical diagnosis.
- CNN
- MRI
- Medical Imaging
Pneumonia Classification
Deep learning model classifying pneumonia from chest X-Ray images with high diagnostic accuracy using transfer learning.
- Deep Learning
- X-Ray
- Classification
Speech Recognition System
DL-based speech-to-text pipeline with robust noise handling and optimized real-time inference performance.
- DL
- Audio Processing
- Real-time
Computer Vision
Bone Fracture Classification
Built a MobileViT Transformer model to classify bone fractures from X-ray images, improving diagnostic efficiency.
- MobileViT
- Transformer
- X-Ray
ASL Detection
Used CycleGAN to generate synthetic ASL data and trained a model for real-time sign recognition.
- CycleGAN
- Real-time
- Sign Language
CT Heart Segmentation
Implemented U-Net architecture for precise segmentation of heart structures in CT scans.
- U-Net
- Segmentation
- Medical Imaging
Natural Language Processing
Language Detection
Built an NLP classifier to identify the language of given text samples with high precision.
- NLP
- Text Classification
- Identification
Arabic Sentiment Analysis
Fine-tuned BERT and trained LSTM to analyze sentiment in Arabic reviews.
- BERT
- LSTM
- Arabic NLP
Paraphrase Classification
Used XLNet for paraphrase detection and T5 for generating paraphrases with varied structure.
- XLNet
- T5
- Generation
Longformer Classification
Fine-tuned Longformer model for text classification tasks involving long documents.
- Longformer
- Fine-tuning
- NLP
AutoEncoders
Cifar10 Image Colorization
AutoEncoder-based model to colorize grayscale images from the Cifar10 dataset.
- AutoEncoder
- Image Processing
- Colorization
Generative Adversarial Networks (GANs)
Cycle GAN For ASL
Generating synthetic American Sign Language gestures using CycleGAN for data augmentation.
- CycleGAN
- Data Augmentation
- ASL
Generative AI
LLAMA 3.1 RAG Doc QA
Document Question-Answering system using Llama 3.1, Retrieval-Augmented Generation (RAG), and ChromaDB vector store.
- Llama 3.1
- RAG
- ChromaDB
Multi-Doc RAG with Streamlit
Interactive interface for querying multiple documents using RAG and Llama 3.1.
- RAG
- Streamlit
- Llama 3.1
PowerBI Analysis
Airline Passenger Report
Comprehensive Power BI dashboard analyzing passenger satisfaction metrics.
- Power BI
- Data Viz
- Analytics
Healthcare Dashboard
Interactive dashboard for healthcare providers to track key performance indicators.
- Power BI
- Healthcare
- Dashboard
Graduation Project
Alzheimer’s Detection with GenerativeAI
Innovative solution using AI and Generative technologies for early detection of Alzheimer's symptoms, improving treatment opportunities.
- GenerativeAI
- Deep Learning
- Healthcare
05. Achievements & Publications
Kaggle Expert
Recognized for active participation in competitions, high-quality notebooks, and contributions to the data science community.
Publications
-
Explainable ML for Liver Disease Detection (IEEE, Oct 2024)
Integrated SHAP, LIME, and Anchors to improve interpretability in diagnosing FLD and HBV. -
ML-Based Anomaly Detection in Healthcare (IEEE, Oct 2024)
Survey of ML techniques (e.g., autoencoders, XGBoost) for detecting anomalies in healthcare IoT and WSNs.
Get In Touch
Let's Work Together
I'm currently looking for new opportunities in AI, Machine Learning, and Data Science. Whether you have a specific project or just want to say hi, my inbox is always open!
Interested in collaboration?
Let's turn your ideas into reality with cutting-edge AI solutions.
Say Hello