Django, Git, Docker, FastAPI, Rest Apis, Python, Kubernetes, AWS, agentic AI frameworks, CI/CD

Open Policy Agent (OPA), Infrastructure as Code (IaC), Cloud Security, Gcp, Terraform, Azure, AWS, Generative AI, Anthropic, Vector Databases, Agentic AI, LLM APIs, RAG, Rego, Regula, OpenAI

Kafka, Streaming, Docker, Python, Rabbitmq, Sqs, Rest Apis, AWS Bedrock, Azure OpenAI, LLM engineering, LangGraph, structured outputs, chain-of-thought, event-driven architecture, LangChain, LLM API gateway patterns, tool function calling, Monitoring, prompt engineering, cost optimisation, microservice design, Gen AI, CI/CD, OpenAI, async programming, agent orchestration

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Microservices, Python, Rest Apis, metadata filtering, cloud-based AI services, AI security principles, vector databases, Azure OpenAI, Azure AI Agent Service, agent development frameworks, workflow automation, Document Processing, RAG pipelines, enterprise search systems, embedding models, agent guardrails, AWS SageMaker, AI agents, AI evaluation techniques, AI governance, observability and tracing, Generative AI applications, AWS Bedrock Agents

Reinforcement Learning from Human Feedback (RLHF, Cloud platforms (AWS, Vector databases (Pinecone, Azure, Python, Sql, Databases, Tensorflow, Deep Learning, Machine Learning, Pytorch, Gcp, Nlp, FAISS, Data pipeline design, Model fine-tuning, MLOps tools, Weaviate, Prompt engineering

Rest Apis, Sql, Java, Json, React, Python, Javascript, RAG pipelines, Claude, Prompt Engineering, Agentic AI, GPT-4, Generative AI

Python, Azure ML, Databricks, Generative AI, Agentic AI

Cloud Services, automation, DevSecOps, Machine Learning, MLops, Apis, Enterprise Architecture, Security, LLMOps, observability, AI-enabled solution architecture, policy as code, generative AI

Python, long-context, planning, agentic AI, ML applied AI, LLM APIs, Reasoning, retrieval, context engineering, memory tool use, prompt engineering

Rest Apis, Power Automate