Sanjay Harkawat

A curated prompt library for PMs covering discovery, strategy, stakeholder comms, interviews, and data analysis. Built in the field, not in theory.

This project addresses the critical issue of information overload in healthcare by leveraging a Retrieval-Augmented Generation (RAG) system. It transforms the extensive Merck Manuals into a powerful, searchable knowledge base, enabling healthcare professionals to get fast, accurate answers to complex medical queries.

A machine learning project using a multi-layer neural network to predict customer churn, providing actionable, data-driven insights and recommendations for effective customer retention strategies.

Case study to build a Data Science Assistant using the LangChain framework and LLM. This assistant aims to automate common data analysis, data science, and database querying tasks by converting natural language requests into executable code.

This explores GenerativeAI and NLP tasks using OpenAI API and Hugging Face. It demonstrates YouTube transcription, transcript summarization, and quiz generation. This notebook offers a practical introduction to LLMs and Generative AI, laying the groundwork for understanding embeddings, deep learning, prompt engineering and TransformerNeuralNetworks

A curated catalog of AI Studio experiments across ML, NLP, CV, audio, and LLMs. Explore demos showcasing core features like local deployment, monitoring, and NVIDIA integrations.