Databases, Machine Learning, Apis, Tensorflow, Numpy, Git, Pandas, Pytorch, Python, Generative AI, scikit-learn, Large Language Models

production deployment , Amazon Web Services, Google Cloud, Backend Engineering, Python, Api Development, LLMs, Agentic AI systems, vector search, RAG architecture, OpenAI models, vector databases, embeddings, Weaviate, model evaluation, Pinecone, prompt engineering, open-source alternatives, retrieval systems

Django, Gcp, PostgreSQL, FastAPI, Azure, Python, Redis, AWS, Async Python, event-driven architectures, LLM-based applications

Sql, Python, Langchain, LLM internals, agent workflows, vector databases, embeddings, prompt tuning

Nodejs, Rest Apis, Python, embeddings, Qdrant, Claude, Pinecone, Weaviate, Gemma 3.0, DeepSeek R1, vector databases, OpenAI GPT-4, ChromaDB

Keras, Pytorch, Python, Tensorflow, Model Evaluation, Data Preprocessing, Feature Engineering, reinforcement learning

Natural Language Processing, Python, Azure Machine Learning, Machine Learning, Azure DevOps, MLops, Generative AI, Microsoft 365 Copilot, Azure AI, Cognitive Services, LLMOps, Azure OpenAI

AWS, Pytorch, Tensorflow, Python, Azure, Docker, Gcp, Nlp, building scalable data pipelines, fine-tuning LLMs, LLM technologies, prompt engineering

Azure ML, Gcp, AWS, LangChain, MLOps Deployment, Generative AI Solutions, Hugging Face, AI ML Development, MLflow, SageMaker, Model Governance, OpenAI APIs, Vertex AI, Kubeflow, LLM Experimentation

AWS, Node.js, Python, Azure, Gcp, LlamaIndex, API integrations, Weaviate, LangChain, Pinecone, Hugging Face, FAISS