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

Image Processing, Data Science, deep learning frameworks, chatbot development, production-quality AI pipelines, generative AI models, AI applications, neural network architectures, cloud AI services, on-premises infrastructure

Pytorch, Keras, Sql, Hive, Tensorflow, Python Programming, Spark, Scikit-learn, machine learning techniques, AI ML solutions

Python, API design, Orchestration, tool calling, planning, explainability requirements, output parsing, parallel tool execution, stateful workflows, contextual compression, agent orchestration, query decomposition, context management, evaluation and testing frameworks for LLM-powered applications, search conversational AI, RAG patterns, multi-index routing, model governance, agentic architectures, cost token management, LLM capabilities and limitations, AWS cloud services, microservices architecture, prompt engineering, workflow automation, retrieval systems

data engineering , Technical Leadership, Pytorch, Pandas, Deep Learning, Numpy, MLops, Azure, python, langchain, model deployment, embeddings, production integration, model serving, model optimization, retrieval-augmented generation, vector search, data pipelines, langgraph, agentic ai, model evaluation, Mentoring, prompt engineering, pipeline architecture

Python Programming, Databricks, Agent Frameworks Libraries, Prompt engineering