Git, Docker, Kubernetes, Python, LangChain, LLM optimization techniques, RAG systems, vector databases, embedding models, prompt engineering

Tensorflow, Pytorch, Gcp, Python, AWS, Computer Vision, Generative AI, Agent Frameworks, Recommendation Systems, Vector Databases, Video Understanding, RAG, Multimodal AI

Distributed Systems, Kafka, Python, LLM applications, microservices architecture, intelligent automation workflows, AI systems, GRPC

Selenium, Java, Django, Design Patterns, Java8, Rest Apis, Appium, Html5, multithreading, Restful Web Services, Css3, Rest Assured, Python, Java EE, Javascript, Llm, Ai, Langraph, Langchain, RAG, API-level testing

Api Development, Tensorflow, Pytorch, Gcp, system integration, Docker, Azure, Python, AWS, Cloud platforms, Scikit-learn, Pinecone, Vector Databases, FAISS, ChromaDB, NLP concepts, Weaviate, RAG architectures

Ml, Uipath, Node.js, Angular, React, REST, Gcp, Docker, Flask, FastAPI, Kubernetes, Python, Ai, GRPC, Llm, WebSockets, Agentic AI, RAG, Streamlit, Langraph

Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, GloVe, Hugging Face, MLflow, Pinecone, MLOps practices, LLM architecture, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, APIs from major AI providers, LangChain, LLM training methodologies, LoRA, QLoRA, sentence transformers, cloud computing platforms

Python, Javascript, prompt engineering, LLMs

AWS, Azure, Gcp, Python Programming, ML Flow, Agentic AI, Generative AI