Machine Learning, Natural Language Processing, MLops, Artificial Intelligence, Deep Learning, cloud, XGBoost, Tensorflow, Pytorch, generative ai, model training, fine tuning, prompt engineering, peft, machine learning evaluation, embedding, ai agents, rag, large language models, vector database, lightgbm, ml systems

Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Transformer architecture, Fine-tuning techniques for LLMs

Databases, API design, Distributed Systems, Python, LangChain, CrewAI, LLMs, AutoGen, backend architecture, Evaluation, guardrails, LLM orchestration, LlamaIndex

MySQL, PostgreSQL, FastAPI, MongoDB, Kubernetes, Python, LangChain, LangGraph, LLM fine-tuning, RAG pipelines

Databricks, Tensorflow, Pandas, Numpy, MLops, AWS, Pytorch, Python, Azure, Docker, Git, Hugging Face, LLMs, Transformers, MLflow, retrieval-augmented generation, scikit-learn, CI CD, LangChain

Python Programming, React Js, LangChain, Foundry ML, Evaluation, AI Search, LLMOps, Vision, LangSmith, RAG Agentic Frameworks, Azure AI Stack, RAGAS, Azure Function Apps, CrewAI, Logic Apps, Document Intelligence, LangGraph

Rest Apis, Python, LangChain, AI orchestration frameworks, Agentic AI frameworks, vector databases, Azure OpenAI, Semantic Kernel, Azure AI Services, LangGraph, AI Search, cloud-native application development