Skills
Key skills that define my professional identity.
Python
The core programming language for AI and data science, supporting machine learning and deep learning development.
PyTorch
Facebook's deep learning framework providing dynamic computation graphs and flexible model building.
Pandas
Powerful data analysis and manipulation library, the go-to tool for handling structured data.
NumPy
Fundamental package for scientific computing, providing high-performance multidimensional array operations.
Git/GitHub
Version control system and collaborative development platform for managing code repositories.
OpenCV
Computer vision library for image processing, object detection, and multimodal AI applications.
SciPy
Scientific computing library built on NumPy, providing algorithms for optimization, statistics, and signal processing.
Scikit-learn
Machine learning library featuring classification, regression, clustering and dimensionality reduction algorithms.
Jupyter
Interactive computing environment for data analysis, prototyping, and collaborative research.
Streamlit
Open-source framework for building and deploying interactive web applications for machine learning and data science.
MLflow
Open-source platform for managing machine learning lifecycle including experimentation and deployment.
Docker
Containerization platform for packaging applications and ensuring consistent deployment across environments.
Vercel
Frontend deployment platform optimized for modern web applications and AI-powered interfaces.
Plotly
Interactive data visualization library for creating dynamic charts, dashboards, and analytical applications.
Microsoft Azure
Cloud computing platform providing AI services, machine learning tools, and scalable infrastructure.