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

data preparation , Sql, Python, Machine Learning, Agile Development, Data Manipulation, Natural Language Processing, Clustering, Statistical Analysis, ML Ops, Azure AI Search, anomaly detection, UNIX Command Line, Classification, Model Evaluation

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

data engineering , Web Scraping, MLops, Deep Learning, AWS, Data Analytics, Data Extraction, Python, Azure, Nlp, Generative AI, Data Communication, entity recognition, LLMOps, cloud platforms, synthetic data techniques, Multimodal AI, large-scale data processing, RAG, AI Agents, Git-based CI CD workflows

Databricks, Tensorflow, Github, Pandas, Numpy, Azure Machine Learning, Machine Learning, MLops, Azure Functions, Pytorch, Python, Kubernetes, Docker, XGBoost, Azure DevOps, Azure Monitor, Application Insights, MLflow, scikit-learn, Azure Container Apps, LightGBM

Sql, Pca, Neural Network, scrapy, Svm, Machine Learning Algorithms, Pandas, Linear Regression, Numpy, AWS, Random Forest, Nosql, Python, Azure, Decision Tree, Gcp, Spark, Logistic Regression, scikit-learn, K-mean Clustering, BERT, scapy, R

Cloud Computing, Machine Learning, Data Science, Natural Language Processing, Python, Analytical