# Skills & Expertise

## AI & Machine Learning
- Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
- Deep Learning: ANN, CNN, RNN, LSTM
- Natural Language Processing (NLP)
- Computer Vision using OpenCV and YOLO
- Scikit-learn, TensorFlow, PyTorch
- Model training, evaluation, and deployment

## Generative AI & LLMs
- Large Language Models (LLMs) — OpenAI, open-source LLMs
- Prompt Engineering
- LangChain and LangGraph for AI pipelines
- Agentic AI and Tool Calling
- Memory Management in AI systems
- RAG (Retrieval Augmented Generation) architectures
- OpenAI API and OpenRouter API integration
- LLM API routing across multiple model providers

## Development & Tools
- Python (Primary language — Expert level)
- Flask and FastAPI for AI app deployment
- Streamlit for data apps and dashboards
- SQL for database management
- Git and GitHub for version control
- Jupyter Notebook and Google Colab
- Docker (containerization)
- Postman (API testing)

## Data & Cloud
- NumPy, Pandas for data manipulation
- Matplotlib, Seaborn for data visualization
- Google BigQuery for cloud data
- Azure Data Factory for data pipelines
- AWS Cloud (certified)
- Google Cloud Platform (GCP)

## Web & Other Technologies
- HTML5, CSS3, Bootstrap, Tailwind CSS
- Django, React Native (basic)
- MongoDB, MySQL, PostgreSQL, SQLite
- Figma (UI/UX design basics)
- Selenium, Hadoop, Kubernetes (exposure)

## Soft Skills
- Problem solving and analytical thinking
- Quick learner and self-motivated
- Team collaboration
- Technical communication