Large Language Models (LLMs), Java, Sql, Restful Apis, Data Modelling, Python, Kubernetes, NoSQL databases, Go, Agentic AI, Public cloud platforms, Containerization and orchestration tools

data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering

Algorithms, Computer Vision, Debugging, data structures, Python, ML infrastructure, LLMs, Data Processing, GenAI techniques, model deployment, language modeling, model evaluation, Optimization, Multi-Modal Large Vision Models

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Git, Typescript, Docker, Python, Kubernetes, Distributed Systems, CrewAI, LangChain, AutoGen, LangGraph, Prompt Engineering, AI orchestration frameworks, LLM testing methodologies, Vector databases, AI evaluation frameworks, Inference optimisation, Model routing, Microservices architecture, CI/CD pipelines, Embedding models, Observability tools, Multi-agent systems, Fine-tuning

Cassandra, PostgreSQL, Docker, metrics, Python, Azure DevOps, Logging, Git, Gcp, Apache Kafka, MongoDB, Rest Apis, Azure Machine Learning, Azure, Kubernetes, Event-Driven Architecture, AI Agents, LangGraph, GitHub Actions, Model Deployment, Google Vertex AI, Azure AI Search, Distributed Tracing, LangChain, Retrieval-Augmented Generation RAG, FAST API, Model Monitoring, Prompt Engineering, Large Language Models LLMs, Vertex AI Vector Search, pgVector