InData Science CollectivebyAayush Agrawal·Feb 1Using AI to Read Technical Research PapersA practical guide to using local or paid LLMs to understand dense technical papers at your own pace.A response icon11A response icon11
Aayush Agrawal·Jan 25Learning Claude Code — From Context Engineering to Multi-Agent WorkflowsThis post captures what I learned from the Udemy course “Claude Code Crash Course: Claude Code in a Day”.A response icon2A response icon2
InData Science CollectivebyAayush Agrawal·Jan 2Diversity in Recommendations using Personalized DPP (pDPP)Part 3 of the diversity series: Why one-size-fits-all diversity doesn’t work, and how to personalize it per user.
InData Science CollectivebyAayush Agrawal·Dec 29, 2025Diversity in Recommendations — Determinantal Point Processes (DPP)Part 2 of the diversity series: Moving from greedy MMR to principled probabilistic frameworks with DPPs
InData Science CollectivebyAayush Agrawal·Dec 26, 2025Diversity in Recommendations — Maximal Marginal Relevance (MMR)Beyond Accuracy: Using Maximal Marginal Relevance to create more diverse and engaging recommendations.
Aayush Agrawal·Dec 14, 2025Why You Should Write Technical Blogs (and How to Start)A guide on why technical blogging is one of the best investments you can make in your career, along with practical tips to get started.
Aayush Agrawal·Dec 16, 2024Meta MLE Interview Preparation GuideA collection of resources while preparing for MLE interviews at Meta or other big tech companies.
Aayush Agrawal·May 26, 2023privateGPT walkthrough: Creating your own offline GPT Q&A systemA code walkthrough of privateGPT repo on how to build your own offline GPT Q&A system.
InData Science + AI at MicrosoftbyAayush Agrawal·Jan 10, 2023Model calibration for classification tasks using PythonA hands-on introduction to model calibration using PythonA response icon3A response icon3
Aayush Agrawal·Dec 27, 2022Python OOPs fundamentalsAn introduction to Object Oriented programming using Python