Research & ML
- Multi-Modal Machine Learning
- Deep Learning Architectures
- Computer Vision
- Image Processing
- Transformer-based Models
- Temporal & Video Understanding (TimeSformer)
- Zero-Shot & Self-Supervised Learning
- Anomaly Detection
- Unsupervised & Clustering Methods
- Feature Engineering & Data Preprocessing
Programming & Tools
- Python
- C / C++
- Java (Basic)
- MySQL
- PostgreSQL (Learning)
- NumPy, Pandas, Matplotlib
- OpenCV, Scikit-learn
- TensorFlow, PyTorch
- CLIP, DPC-RNN, Transformer
- Git, GitHub, Docker
- Jupyter Notebook, VS Code, PyCharm
- Google Cloud (Compute Engine, Colab)