Machine Learning, Angular, Microservices, Tensorflow, React, Typescript, Pytorch, Javascript, Docker, XGBoost, Flask, Python, AWS, Oop, Django, Devops, MLops, FastAPI, Rest Apis, Azure, Kubernetes, Ddd, IaC, SOLID Design Patterns, NoSQL databases, Scikit-learn

Azure, Rest Apis, AWS, Pytorch, FastAPI, Python, Gcp, Git, Flask, LLMs, MLflow, Hugging Face Transformers, LangChain, Weights Biases, Generative AI, CI CD for ML, Transformers

Gcp, Databricks, Azure, Python, AWS, embeddings, LLaMA, A2A Agent-to-Agent, Crew.ai, model orchestration, Claude, prompt engineering, AutoGen, LangGraph, custom agent evaluation frameworks, MCP Model Context Protocol, Mistral, OpenAI, Gemini, LlamaIndex, synthetic datasets

Retrieval-Augmented Generation (RAG) frameworks, Large Language Models (LLMs), Python Programming, Aws Cloud, Restful Apis, Generative AI concepts, Microservices architectures, LangChain or similar orchestration frameworks

Nlp, Python, LangChain, LLMs, Hugging Face

Redis, Postgres, FastAPI, Python, LangChain, vector databases, PDF parsing, GPT-4V, LlamaIndex, LLaVA, Haystack, multimodal models

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