Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Python, LangChain, Agentic AI, OpenAI, Anthropic, LlamaIndex

snowflake , Machine Learning, PostgreSQL, Sql, XGBoost, Python, AWS Bedrock, LightGBM, managed LLMs, Azure OpenAI, LangGraph, GCP Vertex AI, natural-language generation

Integrations, Logging, Authentication, tracing, LLM tool function calling, escalation workflows, multi-turn conversational workflows, structured outputs, backend APIs, Caching, Authorization, AI evals, automated regression tests, context management, queues, AI agents, SQL databases, knowledge systems, observability

data engineering , Sql, Gcp, MLops, Azure, Python, AWS, LangChain, Agentic AI frameworks, Model monitoring, LLMs, LLMOps, Performance optimization, Data processing frameworks, AI deployment pipelines, LangGraph, Vector Databases, Data ingestion, RAG, ETL pipelines

.NET, C#, Typescript, Javascript, Python, D3.Js, Chart.js, API Data Standards

Large Language Models (LLMs), Machine Learning, Apis, Sql, Microservices, Data Science, MLops, Terraform, Python, AWS, Generative AI, LLMOps, NoSQL databases, Agentic AI systems, Prompt Engineering, Containerized deployments

Sql, Nosql, Git, Docker, FastAPI, Python, ASR, LLM agents, WebSockets, asyncio, TTS, RAG, VAD, CI pipelines

Python, Java, Microservices, C++, Google Cloud, AWS, Kubernetes, Azure, Docker, CI/CD, Go, Google ADK, Event-driven architectures, LangChain, gRPC APIs, LangGraph