You will get Custom AI Model for Classification, Prediction, or Object Detection

Mahmoud A.Status: Offline
Mahmoud A.

Let a pro handle the details

Buy Machine Learning services from Mahmoud, priced and ready to go.
Mahmoud A.Status: Offline
Mahmoud A.

Let a pro handle the details

Buy Machine Learning services from Mahmoud, priced and ready to go.

Project details

You will get a custom AI model tailored to your specific needs, whether for classification, prediction, object detection, or face recognition. With hands-on experience in machine learning, deep learning, and NLP, I ensure high-quality models that deliver accurate results.

What sets this project apart is my expertise in leveraging cutting-edge AI techniques, including CNNs, ResNet, YOLO, Transformers, and EfficientNet, to build models optimized for performance and efficiency. I also provide full support, including documentation, guidance, and deployment assistance, ensuring seamless integration into your system.

The work I deliver is customized, scalable, and production-ready, making it suitable for both research and real-world applications.
Machine Learning Tools
Amazon SageMaker, BERT, ChatGPT, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlow, Word2vec, XGBoost
What's included
Service Tiers Starter
$20
Standard
$30
Advanced
$50
Delivery Time 2 days 3 days 5 days
Number of Revisions
123
Number of Model Variations
123
Number of Scenarios
6
Model Validation/Testing
Model Documentation
Data Source Connectivity
-
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-
Source Code
-
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Optional add-ons You can add these on the next page.
Source Code
+$10
Mahmoud A.Status: Offline

About Mahmoud

Mahmoud A.Status: Offline
AI & Machine Learning Engineer | Computer Vision, NLP
Cairo, Egypt - 1:07 am local time
🚀 AI Engineer with strong hands-on experience building real-world intelligent systems in Computer Vision, NLP, and Deep Learning.
I design, train, evaluate, and deploy AI models that solve practical problems with accuracy, speed, and reliability.

💼 Experience in medical AI, driver monitoring systems, safety detection, biometric authentication, segmentation models, and advanced R&D using PyTorch, TensorFlow, and Transformers.

I deliver complete, end-to-end AI solutions—from data preprocessing and model development to deployment, optimization, and monitoring. My workflow ensures scalability, reproducibility, and high-performance results.

Why Work With Me?

✅ End-to-End AI Expertise – Data pipelines, model training, evaluation, and deployment.
✅ Computer Vision Specialist – YOLO, segmentation, detection, tracking, gaze analysis.
✅ NLP & LLM Experience – Chatbots, text classification, embeddings, prompt engineering.
✅ Fast & Clear Communication – Always responsive, structured, and professional.
✅ High Quality & Reliability – Clean code, reproducible experiments, and documented work.
✅ R&D Focused – Strong ability to explore, test, and refine new AI ideas.
✅ Optimized Solutions – Speed, accuracy, and deployment-ready pipelines.

What I Can Do For You

🤖 AI & Machine Learning

Model training (classification, detection, segmentation)

Transformer-based models (ViT, BERT, custom architectures)

Time-series & biometric pattern analysis

Data preprocessing, cleaning, and feature extraction

🎥 Computer Vision

YOLO models (v5, v8, v11) training & deployment

Object detection & tracking

Medical imaging (arteries, colon segmentation, etc.)

Driver monitoring systems (drowsiness, distraction, safety events)

💬 NLP & Chatbots

LLM-powered assistants

Text classification, summarization, RAG

Prompt engineering & custom AI tools

🛠 MLOps & Deployment

API deployment (FastAPI, Flask)

On-edge optimization (NCNN, TensorRT, ONNX)

Cloud deployment (AWS, GCP, Docker)

Monitoring & performance optimization

Steps for completing your project

After purchasing the project, send requirements so Mahmoud can start the project.

Delivery time starts when Mahmoud receives requirements from you.

Mahmoud works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Analysis

Discuss project goals, use cases, and expected outcomes. Identify the type of AI model (Classification, Object Detection, Face Recognition, etc.). Gather any available datasets or define data requirements.

Model Selection & Development

Choose the best AI architecture (e.g., CNN, YOLO, ResNet, Transformers). Build a prototype model to test feasibility. Prepare the dataset for training and preprocessing.

Review the work, release payment, and leave feedback to Mahmoud.