Khaled M.
نبذة
I am an AI Engineer with over 2 years of experience in both academic research and freelance projects. I specialize in building end-to-end AI solutions, with a strong focus on deep learning, object detection, large language models, and workflow automation.
Core Expertise
►Computer Vision & LLM Solutions
- Object detection and image-based models
- Large Language Model (LLM) applications and customization
►RAG & AI Systems
- Retrieval-Augmented Generation (RAG) system design and evaluation
- Embedding models, vector databases, and hallucination mitigation
►AI Automation & Agents
- AI agent development using n8n and Voiceflow
- Integration with third-party APIs and business workflows
►Chatbots & Conversational AI
- Chatbot development and deployment
- Website and platform integrations
►Data Engineering & Preprocessing
- Tabular data processing
- Signal data (e.g., biomedical signals)
- Image data preprocessing and augmentation
►Deployment & MLOps
- Model deployment using Docker
- REST APIs with Flask and FastAPI
- End-to-end ML pipelines
►Machine Learning & Deep Learning
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transformers
- Autoencoders
- Classification, regression, and time-series forecasting
►Research & Technical Support
- Data analysis and experimental design
- Model architecture design
- Scientific and technical writing support
►Application Development
- Web applications
- Mobile applications
الخبرات
Teaching Assistant
Assisting in teaching some courses such as #
CPP programming language •
Data Structures •
Introduction to AI •
Machine learning •
Supervision on graduation projects such as #
Advanced Driver Assistant System •
Smart Glasses for Blind people •
Freelancer
AI Engineer skilled in building LLM-powered applications and intelligent agents using Langchain, OCR, and
RAG. Experienced in Python, FastAPI, and deep learning, with a research background in physiological signal
modeling. Focused on deploying real-world AI solutions with measurable impact.
التعليم
بكالوريوس الهندسة الكهربية
حصلت على بكالوريوس الهندسة الكهربية تخصص الاتصالات والالكترونيات من احدى الجامعات المصرية بتقدير امتياز مع مرتبة الشرف
ماجستير الهندسة
As part of my graduate studies, I specialized in Artificial Intelligence and Machine Learning, with a strong focus on biomedical signal processing and deep learning. My thesis and projects involved advanced modeling of physiological signals such as PPG and ECG, with applications in data cleaning, signal reconstruction, and health monitoring. During this journey i have achieved the following:
1. Conducted research on robust signal cleaning and clustering methods
2. Developed deep learning models for PPG-to-ECG reconstruction
This program strengthened both my theoretical understanding and practical skills in applying AI to real-world problems, particularly in health tech and wearable devices.
مهاراتى
Python
TensorFlow
PyTorch
Computer Visio
Natural Language Processing
Git And GitHub
Machine Learning
Deep Learning
Pandas
SQL
Scikit-Learn
Projects
Graduation Project
My graduation project was self-driving car design.
I was responsible for cars, persons, and traffic signs detection.
I used the single shot detection (SSD) based model.
At the end of the project, model accuracy was 92%.
Reviews Classification
In this project, I fine-tuned a Bert-based model to classify Talabate company reviews.
The dataset was in Arabic. My job was not just classifying reviews into negative and positive
but to classify negative reviews to help decision-makers improve the company's services.
Only 2500 samples were used for training and validation
I achieved an accuracy of 74% on the test sample.
Cyber Bullying Classification
ying
The purpose of the project is to detect bullying in Twitter's tweets.
I have used the Cyberbullying Classification dataset which was available on the Kaggle website.
After the dataset cleaning process, I fine-tuned the ROBERTA large language model on the
dataset.
The achieved accuracy was 87%.