Rupesh Prasad

Background

About Rupesh Prasad

A highly skilled and innovative Machine Learning professional with over 13+ years experience across various sectors. Expertise in leveraging data science techniques to deliver actionable insights, and more recently, driving cutting-edge projects in Generative AI. My career has been marked by successful implementations of AI models that have not only optimized business processes but also generated tangible results. Currently, I am focused on harnessing the power of Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) systems to solve complex business challenges. Languages: Python, R, SAS, SQL, Weka, Knime ML Techniques: Generalized Linear Models, Tree-Based Methods (Random Forest, GBM, CatBoost, XGBoost, LGBM), SVM, Naive Bayes NLP: Text Mining, Sentiment Analysis Generative AI & LLM: LoRA fine-tuning, RAG, Hugging Face, LangChain, LangGraph, Cohere, LLM Optimization (quantization, distillation), Secure LLM with Various Guardrails Statistics: Hypothesis Testing, Probability Distributions, Statistical Modeling