Machine Learning, Technology, AI-Data science, AI-Generative AI, ethical ai, Responsible AI, Prompt Engineering, AI-Machine Learning

data engineering , Technical Leadership, python, Pytorch, Deep Learning, Machine Learning, Numpy, MLops, Azure, retrieval-augmented generation, vector search, langchain, mentorship, model deployment, embeddings, langgraph, llmops, agentic ai, production integration, model serving, prompt engineering, pipeline architecture

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

Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures

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