Intelligent Document Processing (IDP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Tensorflow, Nlp, Pytorch, Azure, Ocr, AWS, LangChain, Generative AI, vector databases, AI models, Scikit-Learn, OpenAI Gemini, Object-Oriented programming in Python, LlamaIndex

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Hypothesis Testing, Machine Learning, Performance evaluation, Generative AI, Data Analysis, Model monitoring, Autonomous workflows, Feature engineering, Responsible AI principles, AI guardrails, Statistical Modeling, Experimental Design, Model explainability, AI agents, Multi-agent systems

Tensorflow, Nlp, Pytorch, MLops, Python, Azure, AWS, GenAI, LLMs, RAG, DL frameworks, CI CD

statistical data analysis , Sql, Clustering, Natural Language Processing, Jira, Machine Learning, Gitlab, Python, feature engineering, UNIX command line, data analysis libraries, Classification, Agile development frameworks, Azure AI Search, anomaly detection, ML Ops

data engineering , Sql, Deep Learning, Rest Apis, MLops, Gcp, Data Architecture, Machine Learning, AWS, Kubernetes, Python, Azure, Docker, AI Security, LLMs, LlamaIndex, LLMOps, CI CD, Weaviate, RAG AI Agents, LangChain, CrewAI, Pinecone, LangGraph, Milvus, Governance, Vector Databases, Chroma, Generative AI

Kubernetes, Prometheus, Grafana, Microservices, Tensorflow, Nlp, Pytorch, Docker, Python, Azure DevOps, Jenkins, FastAPI, vector search, Pinecone, CI CD, GitHub Actions, LLaVA, multimodal LLM frameworks, LangChain, speech models, Cv, FAISS, KServe, Weaviate, LlamaIndex

Sql, AWS, Nltk, Pytorch, Python, Azure, Gcp, Nlp, Scikit-learn, GPT, BERT, Transformer-based models

Python, Pytorch, Tensorflow, Statistical Analysis, Numpy, Pandas, R, Scikit-learn

Python, Sql, Pytorch, Computer Vision, Distributed Systems, MLops, Spark