Retrieval-Augmented Generation (RAG), Api Management, Microservices, Azure Functions, Docker, Python, Apis, Test automation, Rest Apis, Kubernetes, tool integrations, Container Apps, Azure OpenAI, Azure AI Foundry, Azure AI Search, cloud-native services, observability, Monitoring, workflow orchestration, prompt engineering, CI/CD pipelines, AI assistants, AI agents, Azure AI services, grounding, Infrastructure-as-Code, prompt orchestration

snowflake , Hadoop, Alteryx, Power Bi, Scala, SQL Server, Tableau, Impala, SSIS, Sql, Apache Airflow, Hive, Spark, Cloudera, Databricks, Excel, Python, Microsoft BI Stack, Powerpoint, NiFi

Natural Language Processing (NLP), Tensorflow, Machine Learning, Pytorch, Statistical Analysis, Python, Deep Learning

Sql, Python, LLMs, business analytics

Pytorch, XGBoost, Python, Sql, scikit-learn, LightGBM, CatBoost

Pyspark, Machine Learning, Hive, Statistical Analysis, Python, Sql, Generative AI, AI-powered applications, LLMs

Sql, Tensorflow, Numpy, Azure ML, Pandas, Pytorch, Gcp, XGBoost, Databricks, Python, Airflow, scikit-learn, MLflow, AWS SageMaker

Deep Learning, Docker, Terraform, Spark, Machine Learning, Python, Sql, Airflow, Nifi, Beam

production deployment , Personalization, Nlp, Gcp, Azure, Python, AWS, feature stores, Generative AI, LLMs, model training, behavioural and event-streaming datasets, search systems, vector databases, a/b testing, embedding-based retrieval systems, video understanding models, MLOps tooling, feature engineering, ML experimentation frameworks