Aws Services, Agile, Git, AI ML, JIRA, MLops, Scrum, Python, Docker, Nlp, complex agentic workflow pipelines, diffusion, harness engineering, AWS container orchestration, Streamlit, context engineering, loop engineering, AI Specific workflows, VAE, AI ML libraries, Gradio, Agentic solutions, prompt engineering

Java, Scalability, Python, Rust, Incident Response, Security, AI-native engineering practices, Go, AI-assisted development, operability, automation capabilities

data engineering , Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Sql, Version Control, MLops, Scalability, Python, LangChain, Generative AI, Prompt engineering, LLMOps, API-based integrations, Security, Model lifecycle management, Embeddings, Production Support, CI/CD, LlamaIndex, ETL pipelines, Monitoring

Programming Languages - OS, Python - Open Source, Open Systems (Unix/Linux), Technology, traditional ai ml, AI-AI Engineering, AI/ML Solution Architecture and Design