Java, Nlp, Linux, MySQL, Groovy, Prompt engineering, Conversational AI, NLU

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG

Databricks, FastAPI, Python, AWS, LangChain, LLMs, Azure AI Foundry, Semantic Kernel, LangGraph, Transformers

large language models (LLMs), solution architecture, multi-agent orchestration frameworks, vector-based retrieval

Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs

Microservices, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apis, Gcp, FastAPI, Azure, Kubernetes, vector search, embeddings, AI orchestration frameworks, Hugging Face, MLflow, CI CD, Azure OpenAI, event-driven architecture, LangChain, LLMs, Scikit-learn, Anthropic, prompt engineering, RAG, OpenAI, LlamaIndex

Java, Python, LangChain, multi-agent systems, scalable AI infrastructure, streaming LLMs, inference optimization, Go, LlamaIndex

workflow engines , API security, Data Protection, Logging, Javascript, automation, Python, Scripting, Java, cloud security, Vulnerability Management, PowerShell, Bash, Application Security, Security Controls, Iam, orchestration tools, AI platforms, Go, vector databases, API integrations, LLMs, retrieval-augmented generation, DevSecOps practices, Monitoring, low-code no-code automation platforms, prompt workflows, AI agents, agent orchestration

Apis, Git, Docker, FastAPI, Python, LangChain, AgentCore, RAG LLMs, CI CD, LangGraph, AI evaluation guardrails, A2A, production debugging, MCP, AWS Amazon Bedrock, observability

quantitative analytics , Typescript, Javascript, Docker, Python, AWS, Java, Version Control, Devops, Git, Gcp, DevSecOps, Azure, Kubernetes, Data Interpretation, IDES, Go, Cloud environments, SDLC understanding, MCP Infrastructure requirements, AI-first engineering practices, LLMs, infrastructure-as-code, observability platforms