Adham E.

I’m Adham Hany, an AI Engineer focused on building and deploying intelligent systems that bridge the gap between algorithms and real-world applications. My expertise lies in developing full-stack AI solutions, from training and fine-tuning computer vision and NLP models to deploying them as scalable, cloud-native applications.

What I Deliver

1) Intelligent Vision Systems: Real-time pose estimation (Mediapipe), activity recognition using custom-trained models (YOLOv8, ResNet, Vision Transformers) for applications like fitness coaching and driver monitoring.

2) End-to-End ML Pipelines: Data processing, feature engineering (PCA), model training (PyTorch/TensorFlow), and deployment (AWS SageMaker, Flask) for tasks like customer segmentation, behavior analysis, and emotion classification.

3) Multi-Agent AI Ecosystems: Designing autonomous agent systems for research and innovation, leveraging LLMs and optimization algorithms to generate data driven insights from diverse data sources.

4) Robust Backend & APIs: Flask-based microservices, WebSocket integrations for live data streaming and real-time feedback, and Firebase for data management and dashboard visualization.