Python, LangChain, Vector Databases, LLM Integration, Prompt Engineering, Generative AI, LangGraph, MCP Protocol

User trust considerations, Data governance fundamentals, AI monitoring, Prompt engineering concepts, Backlog management, Product management fundamentals, Stakeholder Engagement, Regulatory expectations, AI risk considerations

Apis, System integration, System Design, Python development, Rest Apis, Authentication, tool function usage, Azure OpenAI, Problem-solving, LLM-based solutions, OpenAI, OAuth tokens, Prompt structuring

PostgreSQL, Spring Boot, React, Typescript, Docker, Python, AWS, Java, Graphql, Dynamodb, Jwt, Kotlin, Redis, New Relic, React, FastAPI, Anthropic Claude, AWS Bedrock, Google Gemini, OpenAI GPT-4, LangChain, Auth0, ElastiCache, Zilliz Milvus, GitLab CI

Java, Springboot, SOTA AI frameworks, multi-agent systems, Redis Cache, Google BigQuery, prompt engineering, Distributed infrastructure, LangGraph, Kusto, AI ML technologies, agent architectures

Elk, Prometheus, Kafka, Grafana, Rabbitmq, Docker, Azure, Kubernetes, Python, AWS, LangChain, Istio, LangGraph, Transformers, AI ML frameworks

.NET, Yaml, Graphql, Json, Azure ML, REST, Typescript, Javascript, Api, Dax, Python, D3.Js, Chart.js, Power Fx, Microsoft Graph, M, Agent Service, AI Studio, Azure AI, OpenAI

graph databases , Tensorflow, Nlp, Pytorch, Rdf, Gcp, MLops, Neo4j, Azure, Python, AWS, knowledge graph construction, GenAI, Scikit-learn, DGL, Llm

graph databases , Tensorflow, Nlp, Gcp, Pytorch, MLops, Rdf, Neo4j, Azure, Python, AWS, knowledge graph construction, GenAI, Scikit-learn, DGL, Llm

Implementation Services, Prototyping, Api, Performance Optimization, research tools, RAG Framework