This repository hosts my personal portfolio website:
The site presents selected work as a Machine Learning Engineer with a focus on Computer Vision and Multimodal Generative Models.
- Master’s Thesis: Personality-aware non-verbal behavior generation (Transformer + VQ-VAE)
- Computer Vision Projects:
- Badminton-VisionAI: AI match analytics from video
- Autonomous Driving: Semantic segmentation for urban street scenes
- Medical Imaging: 3D brain tumor segmentation (MRI)
- End-to-End ML Systems: Training, evaluation, optimization, and visualization pipelines
- Applied Demos: Interactive applications for model analysis and presentation
Personality-Aware Non-verbal Behavior Generation
- Generative model for realistic listener avatars in dyadic conversations
- Thesis Demo Website
- GitHub Repository
AI Match Analytics from Video
- End-to-end computer vision pipeline for badminton match analysis
- Live Demo
- GitHub Repository
Semantic Segmentation for Autonomous Vehicles
- Multi-class semantic segmentation using BDD100K dataset
- GitHub Repository
3D Brain Tumor Segmentation (MRI)
- Multi-label 3D segmentation of glioma sub-regions
- GitHub Repository
Realtime Vision Captioning
- Webcam-based image captioning and classification
- GitHub Repository
AI Conversational Agent with Voice and Web Interface
- Real-time voice/text interaction with a conversational avatar
- Status: 🚧 Ongoing
| Area | Skills & Tools |
|---|---|
| Computer Vision Tasks | Object Detection · Segmentation · Tracking · Video Motion Analysis · Digital Avatar Generation |
| Models & Frameworks | PyTorch · Tensorflow · OpenCV · YOLO · SAM · CNNs · Vision Transformers (ViT) · TrackNet · Supervision |
| Training & Evaluation | Transfer Learning · Fine-tuning · Loss Design · Metric Selection · Hyperparameter Optimization · Multi-GPU Training (CUDA) |
| Data & Experimentation | Dataset Preparation · Data Augmentation · Efficient Data Loading · Weights & Biases · TensorBoard · Ablation Studies |
| Deployment & Inference | Docker · GPU Inference Pipelines · Batch & Real-time Inference · AWS (EC2 GPU) · Streamlit (Demos) |
| Compute & Infrastructure | SLURM (HPC) · GPU Job Scheduling · Multi-node Training · Large-scale GPU Experiments |
| Software Engineering Foundations | Python · C++. Object-Oriented Design · Version Control (Git) · Debugging · Logging · Unit Testing |
- 🌐 Portfolio: https://amramer.github.io
- 💼 LinkedIn: https://www.linkedin.com/in/amr-amer-2023-cs/
- 🧑💻 GitHub: https://github.com/amramer