MLops, Docker, Kubernetes, Python, LLM orchestration frameworks, LLMOps, vector databases, RAG pipelines, prompt engineering

Restful Apis, Python, LangGraph, LangChain, scalable application design, OpenAI, Azure OpenAI, AI application development, AI agent frameworks, prompt engineering

data engineering , Python, Fme, Databases, Cloud Services, Machine Learning, Apis, Qgis, Natural Language Processing, MLops, data pipelines, Azure OpenAI, Azure AI Foundry, LLM techniques, LangGraph, Azure cloud environments, Azure AI Search, Arcgis, LangChain, Generative AI, Agentic AI frameworks, AI ML engineering, Semantic Kernel, AutoGen

Tensorflow, Numpy, Git, Pandas, Pytorch, Python, Time-Series Machine Learning, MNE, Signal Processing, Scikit-learn

Artificial Intelligence, AI tools

Git, Docker, Kubernetes, Python, LangChain, LLM optimization techniques, RAG systems, vector databases, embedding models, prompt engineering

AI ML, Python, Llm, RAG, Gen AI, AI Engineer

data engineering , Kafka, Python, AWS, Apis, Sql, MLops, Azure, RAG embeddings, anomaly detection, CI CD, LangGraph, Evaluation, event streaming architectures, structured outputs, observability, model monitoring, tool function calling, LLMs, LLMOps, SHAP feature attribution, retrieval evaluation, vector hybrid search, Classification, Semantic Kernel, prompt engineering, agentic workflows, Regression, Applied AI ML, gradient-boosting techniques, LlamaIndex