data engineering , Data Warehousing, Kafka, Docker, Python, AWS, Apache Spark, Sql, Software Engineering, Gcp, Rest Apis, Azure, Kubernetes, RAG frameworks, Qdrant, MLflow, vector databases, Pinecone, Kubeflow, Cloud MLOps, ETL pipelines, LangChain, Generative AI, LLMs, Clean code practices, prompt engineering, LLM fine-tuning, microservices architecture, Milvus, LlamaIndex

containerization , Java, Spring Boot, Sql, Nosql, Javascript, Agile, Scrum, Data Privacy, Kubernetes, Python, streaming APIs, vector databases, CI CD, prompt engineering, secure software coding practices, evaluation-driven development, test-driven development, AI-native development, LLM orchestration

Genesys, Kafka, Rtp, Python, Websocket, Gcp, Amazon Connect, Cti, Golang, CCaaS, Event-driven systems, Data graph, Embeddings, LLM APIs, NATS, Knowledge graph, AI/ML pipelines, five9, CRM connectors, Model serving, Voice SIP, Redpanda, RAG, Fault-tolerant connector design, Nice, SIPREC

Java, React, Typescript, C, Javascript, Cloud Services, Azure, Python, Microsoft Fabric

SharePoint Framework (SPFx), Github, Power Bi, Power Automate, PowerShell, Power Platform, Azure Logic Apps, Jsom, Knockout Js, React, jQuery, Typescript, Javascript, Azure Ad, Automation solutions, Microsoft 365 services, SharePoint development and administration, PnP libraries, Migration tools for SharePoint on-premise to SharePoint Online, Security compliance features