Gcp, Docker, Rest Apis, Azure, AWS, LangChain, pgvector, vector databases, Pinecone, prompt engineering, LangGraph, Chroma, AI agents, RAG pipelines, Process Automation, AI logic and reasoning pipelines, workflow RAG system

Machine Learning, Natural Language Processing, Artificial Intelligence, Neural Networks, Computer Vision, Machine Learning Algorithms, LLAMA2, Langchain, Claude, openAI, deep learning techniques, LLM frameworks, LlamaIndex

Predictive Modeling, Gstreamer, Multi Threading, Ffmpeg, Kafka, Tensorflow, Rabbitmq, Pytorch, Python, Computer Vision, DeepStream, Triton Inference Server, Classification Models, TensorRT, ML Frameworks, reinforcement learning, GPU Accelerated AI Development, NVIDIA GPU, Multi Processing, NVIDIA AI Ecosystem

Typescript, Apis, Node, Sql, LLMs, Observability tooling, AI coding tools, Conversational AI

Python, AWS, Apis, Gcp, AI orchestration frameworks, Go, vector databases, Claude, Pinecone, LangSmith, function tool calling, observability tooling, chaining, RAG architectures, LangChain, LLMs, embedding models, Braintrust, FAISS, Llama, OpenAI, Weaviate, prompt design, LlamaIndex

Node.js, Python, GitOps practices, infrastructure-as-code, observability platforms, RESTful API design, AWS Cloud technologies, AI-assisted software development

react.js , Testing, PostgreSQL, Node.js, Git, Gcp, MySQL, Agile, Azure, AWS, GenAI, Anthropic, prompt engineering, Llm, Next.js, RAG, AI agents, vector database, OpenAI

Java, Javascript, Sql, Python, AI automation, Go, complex systems integration

Databases, Distributed Systems, Python, Golang, AI agent frameworks, Caching, Cloud-native principles, Queues, Cloud-ready services