To me, tuning a model is like exploration; every parameter change opens up a new frontier.
I'm a passionate AI/ML Engineer focused on creating impactful, intelligent solutions. I specialize in:
- Machine Learning & Deep Learning
- Natural Language Processing
- Computer Vision & Generative AI
- Model Optimization & Fine-Tuning
- Digital signal and image Processing
Domain Knowledge*
Biomedical EngineeringHuman Anatomy & PhysiologyMedical Instrumentation
- Expertise: ML · DL · NLP · CV .LLM
- Project: AI Agents
- Collab: Real-time AI Apps & Research
- Reach Me: 0941813057estifanos@gmail.com
| Project | Description | Last Updated | Status |
|---|---|---|---|
| Auto Differentiation using JAX | Automatic differentiation and gradient computation |  |
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| Clustering Algorithms | K-means, DBSCAN, hierarchical clustering |  |
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| Random Forest | Ensemble learning with decision trees |  |
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| Regularization Techniques | L1, L2, dropout, early stopping |  |
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| Bayesian Linear Regression | Probabilistic linear regression |  |
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| Backpropagation | Neural network training algorithm |  |
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| Project | Description | Last Updated | Status |
|---|---|---|---|
| Convolution | Convolution perations |  |
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| Vision Transformer | Transformer architecture for images |  |
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| Object Detection | Detection models and techniques |  |
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| Semantic Segmentation | Pixel-level classification |  |
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| Project | Description | Last Updated | Status |
|---|---|---|---|
| Attention Mechanism Notebook | Attention in deep learning |  |
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| Large Language Models | Transformer-based language models |  |
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| CLIP Implementation | Vision-language pretraining |  |
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| Project | Description | Last Updated | Status |
|---|---|---|---|
| GANs Implementation | Generative Adversarial Networks |  |
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| Graph Neural Network | GNN for graph-structured data |  |
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| XAI for 3D CNN | Explainable AI for medical imaging |  |
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| Project | Description | Last Updated | Status |
|---|---|---|---|
| Dimensionality Reduction | PCA, t-SNE, UMAP techniques |  |
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| Metrics & AUROC | Model evaluation and ROC analysis |  |
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| Efficient Model Training | Optimization techniques |  |
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| Repository | Description | Last Updated | Status |
|---|---|---|---|
| Deep Learning Project | Comprehensive deep learning project with GAN and diffusion models |  |
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| Diffusion Model | Implementation of simple stable diffusion model |  |
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| Semantic Segmentation with U-Net | U-Net implementation on Pascal VOC dataset |  |
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| Repository | Description | Last Updated | Status |
|---|---|---|---|
| Machine Learning Course Project | Course project on hyperbolic embeddings in machine learning |  |
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| Repository | Description | Last Updated | Status |
|---|---|---|---|
| FSE4AI Team Project | Foundation of Software Engineering for AI team project |  |
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Portfolio Overview: • Total Notebooks: 19 • Complete Repositories: 5 • Categories: 7 (ML/DL, CV, NLP, Specialized Architectures, Data Processing, Generative AI, Software Engineering) • Total Projects: 24
If you find my work useful, please ⭐ star my repositories. Let’s build something impactful together!