data engineering , Devops, Machine Learning, MLops, Artificial Intelligence, Security Compliance, Api Development, Python Programming, Prompt Engineering, Data Pipeline Development, Risk Management

Docker, FastAPI, Python, Kubernetes, AWS, EKS

Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Pandas, MLops, Azure Machine Learning, scikit-learn, vector databases, Azure AI Foundry, LangGraph, Azure AI Search, Application Insights, LangChain, experiment tracking, RAG architecture, LLMOps, Azure OpenAI Service, LightGBM, embedding models, Semantic Kernel, CI/CD pipelines, Azure AI Content Safety, Azure App Service Functions

Java, Nlp, Linux, MySQL, Groovy, Prompt engineering, Conversational AI, NLU

snowflake , Spark SQL, Pyspark, Databricks, Azure, Python, embeddings, LLM API integration, API integration patterns, vector databases, cloud-native delivery, CI CD, prompt workflows, Delta Lake, agent orchestration

software engineering practices , Apis, MLops, Microservices, Python, DataOps, LLMOps, architecture patterns, prompt engineering, cloud-native development, AI development frameworks, agentic AI architectures, knowledge and context graphs, semantic models, modern AI methodologies, cloud environments

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG

Databricks, FastAPI, Python, AWS, LangChain, LLMs, Azure AI Foundry, Semantic Kernel, LangGraph, Transformers

Java, Git, Machine Learning, Gcp, MLops, Docker, Pyspark, Azure, Python, Sql, AWS

Cosmos DB, SQL Server, Github, Logging, Ocr, FastAPI, Kubernetes, Python, Docker, PostgreSQL, Microsoft Azure, Azure DevOps, agentic systems, Responsible AI, AI-enabled automation, document intelligence, Monitoring, observability