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

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

software security , Model Context Protocol (MCP, CDK, DevSecOps, Systems Integration, Software testing, Python, Kubernetes, Apis, AWS Bedrock, GitHub Actions, CI/CD, Agentic AI solutions, Cloud Native applications, AWS Bedrock AgentCore, Agent orchestration, Cloud-security services, Harness, Helm Charts, Strands framework

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