.NET, Java, C#, Jvm, Distributed Systems, Spring Boot, Node.js, Angular, Microservices, React, Typescript, ECS, Kubernetes, AWS, Infrastructure as Code, Generative AI, Event-Driven Systems, Agentic AI, Temporal, ASP.NET Core, Messaging, CI/CD, Serverless

react.js , .NET 8+, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), C#, Web Api, Typescript, Docker, RESTful API development, Xunit, Jest, Azure DevOps, Redux, SQL Server, Redis, Elastic Search, MongoDB, Kubernetes, Entity Framework Core, LangGraph, Next.js, LangChain, NoSQL databases, Mog, MS-SQL Server, ASP.NET Core

Java, Data Modeling, Data Architecture, Storage Systems, Distributed Systems, Python, AI agent-facing infrastructure, On-premises infrastructure, Cloud-native architectures, System scalability, Distributed query engines, SQL-based data access patterns, Data platforms, Agentic AI engineering, Event-driven architectures

Java, C, Javascript, Ruby, Python, Generative AI, big data querying, multiple programming languages, LLM deployment, fine tuning, Go, embedding models, vector databases, prompt engineering, agentic systems, privacy and security considerations, Evaluation, responsible AI, RAG techniques, guardrail techniques

Java, Hadoop, Big Data Technologies, API design, Microservices, Docker, Terraform, Distributed Systems, Spark, Python, Kubernetes, data pipelines, AWS cloud services, agentic AI-enabled development practices, CI CD pipelines, data visualisation tools, data processing frameworks