graph databases , Tensorflow, Gcp, Pytorch, Docker, Keras, MLops, Azure, Kubernetes, Python, Ocr, AWS, Computer Vision, LangChain, Agentic AI frameworks, LangGraph, AutoGen, Vector Databases

Machine Learning, Neural Networks, Opengl, Node.js, Json, Python, OpenAI, deep learning models, GPT-3, regression techniques

Python, Gen AI, Agentic AI, Llm

Algorithms, Waterfall Methodology, Microservices, Sql, Scrum, Agile, data structures, Rest Apis, Python, Oracle AI skills, LLMs, ML algorithms, NoSQL databases, chroma DB, vector databases, AI Certification, GPT, prompt engineering, open-source models, Azure AI skills, FAISS, Statistics

.NET, Java, Kafka, Tensorflow, Numpy, Git, Pandas, Pytorch, Docker, Spark, Rest Apis, Kubernetes, Python, Scikit-learn, MLflow, Kubeflow

Pandas, Rest Api, Python, LangChain, LangGraph, LLM integrations, FAST API

Microservices, Nlp, Machine Learning, MLops, Python Programming, Rest Apis, multi-agent systems, AI Agents, Hugging Face, Pinecone, Azure OpenAI, Azure AI Foundry, Retrieval-Augmented Generation, Vector Databases, OpenAI APIs, ChromaDB, Azure AI Search, LangChain, Generative AI, Agentic AI frameworks, LLMs, LLMOps, cloud platforms, Semantic Kernel, AutoGen, FAISS, RAG, Prompt Engineering, LlamaIndex

text classification , Sql, Databricks, Tensorflow, Numpy, Tableau, Pandas, Power Bi, Pytorch, Python, Sentiment Analysis, XGBoost, Azure ML, NLP techniques, MLflow, Scikit-learn, AWS SageMaker, named entity recognition, LightGBM, LLM fine-tuning, MLOps practices, RAG architectures, time-series forecasting

Workflow Design, Python, LangChain, LangGraph, semantic search, Prompt engineering, LLMs, RAG pipelines, Multi-agent orchestration, Vector embeddings