data/sample_knowledge_base/skills.md

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