Retrieval-Augmented Generation (RAG), Machine Learning, Jax, Microservices, Deep Learning, Tensorflow, Pytorch, Docker, Rest Apis, Python, Kubernetes, multi-agent systems, Generative AI, GPU infrastructure, cloud platforms, Ethics, Regulatory Compliance, MLOps practices, LLM-powered applications, agentic AI workflows, AI governance

graph databases , Keras, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Neo4j, Nlp, knowledge graphs, LLMs, DGL, Scikit-learn, LLMOps, vector databases, embeddings, RAG, semantic search, prompt engineering

Data Science, Algorithms, Machine Learning, Ai, Generative AI, heuristics

Tensorflow, Predictive Modeling, Machine Learning, MLops, Pytorch, XGBoost, Python, Sql, Deep Learning, Time-Series Forecasting, Scikit-Learn

Tensorflow, Pytorch, Python, Sql, Machine Learning Algorithms, Hugging Face, statistical modeling methods