Parul Pandey

How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation
Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPU Engine
Parul Pandey
July 21, 202611 min read
Federated Learning, Part 2: Implementation with the Flower Framework 🌼
Federated Learning
Implementing cross-silo federated learning step by step
Parul Pandey
January 28, 202610 min read
Federated Learning, Part 1: The Basics of Training Models Where the Data Lives
Federated Learning
Understanding the foundations of federated learning
Parul Pandey
January 10, 20269 min read
Exploring TabPFN: A Foundation Model Built for Tabular Data
Large Language Models
Understanding the architecture, training pipeline and implementing TabPFN in practice
Parul Pandey
December 27, 20259 min read
Reading Research Papers in the Age of LLMs
Large Language Models
How I keep up with papers with a mix of manual and AI-assisted reading
Parul Pandey
December 6, 20259 min read
Why I’m Making the Switch to marimo Notebooks
Data Science
A fresh way to think about computational notebooks
Parul Pandey
November 20, 202510 min read
Things I Learned by Participating in GenAI Hackathons Over the Past 6 Months
Artificial Intelligence
Sharing my two cents from the building in public journey so far
Parul Pandey
October 20, 20259 min read
My Experiments with NotebookLM for Teaching
LLM Applications
Exploring NotebookLM as a teaching companion
Parul Pandey
September 16, 20257 min read
Can LangExtract Turn Messy Clinical Notes into Structured Data?
Large Language Models
Turning raw clinical notes into structured entities with LLMs.
Parul Pandey
August 18, 20256 min read
Build Your Own AI Coding Assistant in JupyterLab with Ollama and Hugging Face
Artificial Intelligence
A step-by-step guide to creating a local coding assistant without sending your data to the cloud
Parul Pandey
March 24, 20257 min read