Kubernetes, Python, Automated Testing, MCP servers, semantic retrieval, OpenAI APIs, software engineering principles, AI agents, code reviews

Django, Gcp, PostgreSQL, FastAPI, Python, Redis, AWS, asyncio

Java, Git, Software Development Methodologies, Node.js, Python, MCP protocols, DevSecOps process and tools, Generative AI models, Prompt Engineering

Java, Hibernate, Kafka, Spring Boot, Css3, Sql, Microservices, Nosql, Jenkins, Typescript, Docker, Terraform, Html5, Reactjs, Sonarqube, Jpa, Kubernetes, AWS, AI engineering tools, Observability tools

Machine Learning, Pytorch, Directx, Deep Learning, Cuda, Llama.cpp, WinML, Vulkan, TensorRT, DXCGC, vLLM

Cloud Architecture, Automation, AWS, AI integration, systems thinking, Infrastructure-as-code

Github, Node.js, Docker, Rest Apis, Azure, Python, AWS, LangChain, CrewAI, Prompt engineering, DevOps practices, Vector databases, Agent orchestration, infrastructure automation, LLM application development, Azure OpenAI services, Semantic Kernel, AutoGen, LangGraph, OpenAI APIs, Tool calling, Memory systems

React, Typescript, Docker, APEX, Python, AWS, Java, Node.js, React Native, Kubernetes, LLMOps tooling, Go, vector databases, LangSmith, LangGraph, GPU inference, LLM APIs, Langfuse, RAG pipelines, LangChain, Salesforce, CrewAI, tool function calling, Anthropic, vLLM, prompt engineering, agentic workflows, OpenAI, LlamaIndex, model serving

Bash Scripting, Git, Linux, Python, Sql, MLOps practices, CI CD pipelines