data wrangling , Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, LangGraph, DeepSeek, Qwen, vector DBs, Google Vertex AI

.NET, Rest Api, Devops, React, Docker, Flutter, Azure, Azure DevOps, LLMs, AKS, prompt engineering, RAG

data engineering , Machine Learning, Software Engineering, system integration, Application Architecture, Rest Apis, Python, Generative AI technologies, Ai

MLOps tools (MLflow, Vector databases (Pinecone, Weights & Biases, ChromaDB), Kubeflow), Api Development, Tensorflow, System integration, Git, Pytorch, Docker, Python, Kubernetes, RAG embeddings, Milvus, Cloud-native environments, CI/CD, AI agents, Multi-agent architectures, FAISS

MCP (Model Context Protocol), Tcp, PostgreSQL, Containers, Concurrency, Ruby, Tls, Kubernetes, metrics, Network Services, Logging, Anthropic APIs, Go, Security, HTTP 1.1, Deployment pipelines, JSON streaming, HTTP 2, Authn/Authz, Tenant isolation, Profiling, Worker pools, Performance optimization, tracing, Queues, Observability

Rest Api, Python, AWS, Chatbot Agentic AI usecases, Generative AI, Managed vector hybrid search tuning, RAG system, Responsible-AI, Amazon Bedrock, LLM evaluation, prompt engineering

API design, Typescript, Docker, Databricks, FastAPI, Python, Kubernetes, AWS, Workflow orchestration tools, AI-powered applications, Fastify, backend system development, production backend applications, Next.js, OpenAI

Api Integration, Database Management, System Testing, Debugging, Application Deployment, Software Development Methodologies, Python, Data Processing, AI technologies, ERP systems, Microsoft Dynamics 365 Business Central, machine learning concepts

state management , workflow engines , Orchestration, CDK, Docker, Terraform, Distributed Systems, Sns, AWS, Dynamodb, concurrency, Sqs, Containers, FastAPI, Fault Tolerance, Kubernetes, LLM integration, IaC, GRPC, agentic systems, LangGraph, Autogen, OpenAI Agents SDK, Temporal, AI ML infrastructure, CrewAI, ElastiCache, EKS, Semantic Kernel, CI CD pipelines