PinnedPrutha·Oct 6What 150 People Told Me About Thinking With AINotes from co-hosting a Medium Day 2026 session on cognitive offloadingA response icon2A response icon2
PinnedPrutha·Jul 11Ontologies Meet Graph Databases: Designing a Neo4j Schema the Formal WayMost people who reach for a graph database start the same way: sketch some node labels on a whiteboard, pick relationship names that feel…
Prutha·Mar 24Feature Engineering in MLOps: A Beginner’s Guide to Getting Your Data Ready for ProductionSo you’ve trained a model. Great! But how do you make sure the data feeding it is actually good? Let’s talk about that.
Prutha·Mar 14MLflow Basics: Tracking and Managing Machine Learning ExperimentsMachine learning development rarely happens in a single run. A typical workflow involves experimenting with multiple models…
Prutha·Feb 21The Paradox of Modern AI : Why Fundamentals Still Matter in the Age of LLMsAt some point in my own work, I stripped away every framework and implemented gradient descent manually.
Prutha·Feb 8What Multimodal Emotion Models Still Get Wrong — and What’s NextEmotion recognition has become one of the most promising frontiers of artificial intelligence …promising systems that don’t just parse…
Prutha·Jan 25From Kanji to Gradients : Learning Representations in Multilingual NLPLanguage is not just text ; it is structure, culture, and intent compressed into symbols. For humans, this compression is effortless. For…
Prutha·Jan 11Visualizing Japanese and English Embeddings Through PCA: An Intuitive ExplorationIntroductionA response icon1A response icon1
Prutha·Jan 1Why I Think AI Is Really Applied Mathematics at ScaleThere was a moment when artificial intelligence stopped feeling magical to me.
Prutha·Dec 14, 2025How Studying Japanese Changed the Way I Think About NLPWhy language structure matters more than we think in modern Natural Language Processing
