Apis, Natural Language Processing, Cloud Technologies, Azure ML, Databricks, Data Privacy, machine learning pipelines, enterprise-grade AI ML platforms, AI technologies, ML Ops, model integrity, AWS Sagemaker, cost management, batch streaming pipelines, observability, Large Language Models

AI Architecture, Agentic AI architectures, semantic layers, knowledge graphs, LLMs and SLMs, Responsible AI frameworks

snowflake , Metadata Management, Sql, Databricks, Tableau, Pyspark, Azure Machine Learning, Kafka, Spark Streaming, Power Bi, Adf, Data Modelling, Adb, Data Governance, Performance Tuning, Python, Synapse, Cognitive Services, Azure OpenAI, Event Hubs, Azure Data Services, data observability, Azure SQL Data Lake, Microsoft Fabric, dimensional vault

Java, Gcp, Kafka, Spring Boot, Azure, Python, AWS, data pipelines, microservices architecture, event streaming platforms, AI ML integration

Azure ML, Databricks, Deep Learning, Machine Learning, MLops, Automation, Kubernetes, Python, Docker, Spark, EKS, Vertex AI, AKS, Cloud-native engineering, Gen AI, Ai, AWS Sagemaker, GKE, Agentic AI