Gcp, Pytorch, Azure, Aws, Llm

security risk , messaging platforms , Agile, Java, Devops, Kafka, Distributed Systems, Python, Apis, Databases, data privacy compliance, source control systems, system integrations, responsible AI usage

Python, Git, AWS Bedrock, Vector Databases

Nltk, Natural Language Processing, Tensorflow, Pandas, AWS, Pytorch, Azure, Gcp, fine-tuning LLMs, OpenAI, gensim, mlflow, scikit-learn, vector databases, Langchain, HuggingFace

Algorithms, Machine Learning, Natural Language Processing, Deep Learning, Azure Cloud, Gcp, data structures, FastAPI, Python, AWS, LangChain, software engineering principles, LlamaIndex

Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Deep Learning, Gcp, FastAPI, Azure, Kubernetes, embeddings, pgvector, Hugging Face, vector databases, Pinecone, LangChain, fine-tuning, LLMs, prompt engineering, FAISS, RAG, Milvus, Weaviate, LlamaIndex

Python, FastAPI, Restful Apis, Database Management, Microservices, Cloud deployment, Version Control, Unit Testing, Llm, RAG, LangChain, LangGraph

FastAPI, Python, Rest Apis, LangChain, AI-assisted development tools, vector databases, document processing pipelines, LangGraph, embeddings

Linq, Cosmos DB, Typescript, React, Angular, Azure DevOps, SQL Server, Functions, Html5, Redis, Css3, Kubernetes, Azure, Docker, OpenAI, AKS, Cognitive Services, Azure App Services, RAG pattern, GitHub Actions, Vector Search, ONNX, EF Core, ASP.NET Core, ML.NET