Azure Databricks, Microservices, Docker, Cloud Services, Rest Apis, Kubernetes, Python, AI orchestration frameworks, Prompt engineering, Software Engineering Application Development, AI Engineering Generative AI, Generative AI solution design, Large Language Model LLM application development, Developing agentic AI workflows, Feature engineering, CI CD pipelines, Data pipelines, Building deploying and maintaining AI-powered applications, Event-driven architectures

Api Development, Deep Learning, Tensorflow, Nlp, Pytorch, Elasticsearch, Python Programming, Flask, Keras, FastAPI, LangChain, Generative AI, Scikit-learn, Pinecone, Azure OpenAI, LangGraph, FAISS, Weaviate, Prompt Engineering

.NET, process mining , Java, Uipath, Api Management, Power Platform, Sap Ecc, Typescript, Azure Functions, Javascript, Python, DevOps practices, Cognitive Services, Microsoft Dynamics, Azure-based services, Azure OpenAI, prompt engineering, Kingdee, retrieval-based approaches, workflow automation tools, cloud-native architectures, agent orchestration

AI ML, Sql, Typescript, Javascript, Gcp, Terraform, Azure, Python, LangChain, Infrastructure as Code, Generative AI, Anthropic Gemini, LLMs, pgvector, ADK, Azure OpenAI, LangGraph

Large Language Models (LLMs), Apis, Microservices, Typescript, Docker, Distributed Systems, Python, Kubernetes, DevOps practices, Vector databases, Hybrid search and advanced retrieval techniques, CI/CD pipelines, AI/ML frameworks and libraries, RAG pipelines

snowflake , Apis, Sql, Gcp, Data Governance, Data Lake, Databricks, Azure, Python, AWS, GenAI, data pipelines, Llm, rbac, Lakehouse

Python, Retrieval-augmented generation, Observability for LLM systems, AI coding assistants, QA or test-automation, Prompt design, Browser automation or DOM analysis

Apis, middleware, Python, LangChain, Hugging Face, OpenAI, Pinecone, Weaviate, AI ML frameworks