Machine Learning and Modeling
Building, training, and validating models for classification, segmentation, time series forecasting, and more.
Technologies:
- PyTorch
- TensorFlow
- Scikit-Learn
- Keras
- LSTM
- ARIMA
- TorchIO
- MONAI
- SE-Nets
- 3D U-Net
- Attention Mechanisms
NLP and Computer Vision
Working with text and images for practical systems, from RAG and prompt engineering to CNN-based medical imaging.
Technologies:
- OpenAI GPT
- Transformers
- Prompt Engineering
- RAG
- OpenCV
- CNNs
- CLIP
- Mediapipe
- Grad-CAM
- Image Augmentation
Databases and Deployment
Building robust data pipelines and deploying systems for real-world use.
Technologies:
- MongoDB
- PostgreSQL
- SQL Server
- Oracle
- Azure
- AWS
- Firebase
- Docker
- CI/CD
- Azure DevOps
- ETL Pipelines
Data Engineering and Visualization
Transforming raw data into usable insight through feature engineering and interactive visualization.
Technologies:
- Pandas
- NumPy
- PyMongo
- Matplotlib
- Seaborn
- D3.js
- Tableau
- Streamlit
- H2O Wave
- Git
- Jupyter