Java, Python, LLMs, Azure AI, vector databases, Anthropic, OpenAI, AI applications, agent frameworks, cloud AI services, RAG architectures

, Databricks, MLops, Cloud Architecture, Model Versioning, OpenAI, Google, Multi-agent Orchestration, ModelOps, Contextual Intelligence, Ai, Azure AI Foundry, Infrastructure as Code, Model Monitoring, Mosaic AI, Automated Deployments, Anthropic, Agentic AI, Generative AI, Token Optimization

Git, Gcp, Azure, Aws

Java, Saas, Typescript, Gcp, Azure, Python, AWS, LangChain, CrewAI, MCP servers, Bias mitigation, Go, Auditability, LangGraph, Privacy, AutoGen, Agentic AI, AI coding tools, Cloud-native distributed systems, Responsible AI, Event-driven architectures

AWS EKS, Computer Vision, Image Processing, Tensorflow, Pytorch, MLops, Python, Kubernetes, Ocr, Model deployment, GPU-based training or inference, Continuous model improvement, Scalable inference, Document AI, Production Monitoring, Retraining pipelines, Model evaluation, Spatial AI

.Net Core, Typescript, Terraform, Python, AWS, Java, Sql, Azure, No-SQL, CI CD, GitHub Actions, LLM orchestration, RAG and GraphRAG, LangChain, multi-agent frameworks, guardrail design, prompt and context engineering, cloud-native applications, Claude Code, GenAI capabilities, crewAI, AutoGen, GitLab CI, ML AI features, GenAI frameworks, LlamaIndex

Java, Predictive Analytics, Vue, React, AWS, Angular, Node.js, Python, Azure, Gcp, Computer Vision, Nlp, Go, EKS, LLMs, Milvus, LlamaIndex, vector databases, AI applications, Weaviate, LangChain, pgvector, Pinecone

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Typescript, Javascript, Python, Testing Frameworks, AWS cloud services, AI agents, Prompt engineering, AI system design, Vector databases, and engineering management tools, Agile environments, Collaboration, Responsible AI practices, Modern planning, CI/CD pipelines, AI observability, Cloud-native applications