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

solution architecture, GenAI-powered systems, multi-agent orchestration frameworks, vector-based retrieval

data engineering , data curation , Machine Learning, Tensorflow, Data Science, Pytorch, Docker, Python, AWS, Redis, MLops, Gcp, Azure, Kubernetes, Similarity search algorithms, Agentic AI solution Architecture, Feature engineering, LangGraph, R, Optimization Techniques, LangChain, Generative AI, NoSQL databases, Responsible AI

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