Large Language Models (LLMs), Nlp, Docker, Flask, Python, Azure DevOps, AWS, Django, Jenkins, Gcp, FastAPI, Azure, Kubernetes, Hugging Face, vector databases, GitLab CI/CD, Pinecone, Azure OpenAI, GitHub Actions, OpenAI APIs, ChromaDB, RAG architectures, LangChain, Generative AI, FAISS, Weaviate, Prompt Engineering, LlamaIndex

AI Development Lifecycle (AI DLC, MLops, AWS AI services, Deployment, Monitoring, Continuous Improvement, LLMOps, Gemini models, Copilot Chat, Amazon Bedrock, Amazon Nova, Model evaluation, Amazon Titan, Amazon Q Developer, Anthropic Claude, GitHub Copilot, Prompt engineering

software engineering practices , Bash Scripting, Version Control Tools, automation, Git, Computer Vision, Python Programming, Deep Learning, semantic segmentation, YOLO, object detection models

Azure Cloud, Tensorflow, Machine Learning, Azure Functions, Pytorch, Python, Nlp, Azure ML, Azure DevOps, FAISS, MLOps tools, MLflow, Kubeflow, Scikit-learn, LLM-based systems, vector databases, Azure ML pipelines, Weaviate, Pinecone, HuggingFace, Spacy, Transformers

Sql, AWS, FastAPI, Python, Docker, Multi-Agent Systems, Agent Frameworks, LLM API Integration, OpenSearch, Prompt Engineering, Skill Building, Guardrails, pgvector, RAG Pipelines, Pinecone