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

cloud platform , Artificial Intelligence - BASIC, Generative AI - Basic, Machine Learning, AI-Generative AI, Technology, AI-Data science, AWS Data Analytics

Ml, Cloud Migration, Software Engineering, multi-agent systems, Generative AI, application transformation, LLMs, Ai, AI-assisted application modernization, Security, Agentic AI, platform upgrades, responsible AI practices, Governance, observability, RAG architectures, autonomous agents

Retrieval-Augmented Generation (RAG), MLops, Docker, Python, AWS, LangChain, GenAI, Generative AI, AWS Bedrock, Prompt engineering, Model monitoring, SageMaker, Vector Databases, OpenAI APIs, Containerized deployments, LLM evaluation

Java, Cloud Storage, BigQuery, Python, Apis, Google Enterprise Agent Platform, Tool integration, GenAI, Pub Sub, RAG concepts, Agent loops, SDKs, Embeddings, Agentic AI, Memory fundamentals, GCP Services, Prompt engineering

data engineering , Azure, Sql, AWS, Artificial Intelligence, Kubernetes, Python, Docker, Machine Learning, MLops, Large Language Models, Generative AI