Servicenow, Typescript, Javascript, Python, embeddings, RAG systems, vector databases, AI LLM technologies, semantic retrieval, AI prototypes, agent-based workflows, LLM APIs

Tensorflow, Pytorch, Docker, Python, Rest Apis, Kubernetes, embeddings, AI workflows, AWS Bedrock, AI Agents, Hugging Face, vector databases, CI CD, Azure AI Foundry, LangGraph, semantic search, Google Gemini Enterprise, LangChain, CrewAI, Generative AI, LLMs, cloud platforms, Agentic AI, RAG, Prompt Engineering, LlamaIndex

Azure Functions, Power Automate, Python, Entra ID app registrations, Power Apps, Logic Apps, Azure AI services, Microsoft Graph API, Azure OpenAI, custom connectors, Copilot Studio

Python, RAG Retrieval Augmented Generation, LLM Architecture patterns, ASR TTS Configurations

state management , React, Gcp, Cloud Computing, multi-agent systems, structured and unstructured data, architecting AI systems, vector databases, cost-per-request, building pipelines, AI-driven solutions, LangGraph, granular tracing, LLM-native metrics

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning (ML), MLOps & Cloud, Devops, Python Core/Advanced, Agentic AI Frameworks

Sql, Rest Apis, Python, Agentic AI architectures, Prompt engineering, Vector databases, APIs and system integrations, Enterprise integration patterns, Human-in-the-loop workflows, Data engineering fundamentals, Production AI deployments, MCP Model Context Protocol, Tool calling and function orchestration, AI workflow orchestration, AI memory architectures, AI observability, Multi-agent systems, LLM evaluation and guardrails

triton , Cuda, Kubernetes, Python, XGMI, ROCm, NVLink, Go, RoCE, Infrastructure as Code, RCCL, NCCL, AI-native systems architecture, NVIDIA and AMD GPU platforms, TensorRT

PostgreSQL, React, Gcp, Neo4j, Terraform, Docker, Ansible, NextJS, Azure, Helm, Kubernetes, Python, AWS, GitLab CI, GitHub Actions