Python, Sql, LangChain, prompt tuning, embeddings, vector databases, LLM frameworks, agent workflows

Natural Language Processing (NLP), Pytorch, Tensorflow, Python, Llm

Azure, AWS, LLMs, RAG, vector databases

data engineering , Machine Learning, System Integration, Python, Generative AI, AI ML Deployment, Agentic AI, Vertex AI, Enterprise AI Solutions

react.js , Node.js, Git, Typescript, Javascript, MongoDB, Rest Apis, Python, LangChain, Hugging Face, Anthropic, OpenAI, LlamaIndex

data wrangling , Cloud Infrastructure, Containers, Python, vector search systems, LLMs, model training, RAG-based systems, CI CD, document knowledge bases, NLP tasks, traditional ML models, feature extraction, large language models, LlamaIndex

CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic

Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, GloVe, Hugging Face, vector databases, MLflow, Pinecone, LLM architecture, MLOps practices, Word2Vec, RAG pipelines, ChromaDB, fine-tuning techniques, LangChain, APIs from major AI providers, embedding preparation, text processing, LLM training methodologies, Neural Network fundamentals, sentence transformers, cloud computing platforms

Distributed Systems, Python, multimodal systems, vector databases, Pinecone, custom retrieval layers, Swarm, Chroma, transformer architectures, RLHF, LangChain, CrewAI, AI safety, agent frameworks, AutoGen, LLM fine-tuning, LoRA, MLOps tooling, generative AI models, Milvus, OpenAI, Weaviate, QLoRA, LlamaIndex, red-teaming

Api Development, Python, Pinecone, RAG, LangChain, Prompt Engineering, FAISS