Pradeep Pasupuleti
Pradeep Pasupuleti leads data science, machine learning, and AI projects at a multinational in Hyderabad, India. Over thirty years, he's built pattern-detection systems for healthcare organizations in Chicago, transportation networks in Seattle, and government infrastructure in Saudi Arabia—specializing in finding signals hidden in massive datasets.
He holds a degrees in Data Science, Machine Learning, and AI, and in Computer Science.
His previous books, on Data Science Design Patterns in Hadoop Using Pig Language and Data Lake Development: Analyzing Massive Datasets, taught engineers worldwide how to analyse and debug distributed systems processing petabytes of data. These books codified the modular patterns and iterative fixes that made him excellent at his job: rapid categorization, pattern recognition, systematic analysis.
But those same abstraction superpowers trapped him in an unexpected blind spot. During a routine client presentation, a simple request—sketch a flowchart arrow on the whiteboard—exposed the problem: his hand produced something a kindergartener would reject. After three decades building ML models across continents, he couldn't draw a basic shape. The irony was brutal: he'd spent years optimizing information pipelines while his own perceptual pipeline ran on corrupted inputs, processing labels instead of observing reality.
That failure led to 18 months of systematic investigation. He discovered that structured drawing exercises—designed to bypass the brain's automatic labeling habit—provided access to the heightened awareness contemplatives describe through meditation, but packaged in engineer-friendly protocols. Within months, debugging sessions that used to fragment after 45 minutes sustained focus for 3+ hours. Visual training that taught him to actually see a coffee cup's curves helped him spot data correlations his software was missing—patterns hiding in the 'negative space' between obvious metrics.
Debugging Consciousness bridges three domains that rarely intersect: cutting-edge neuroscience research on perception and attention, cognitive psychology's understanding of how analytical minds get trapped in abstraction, and contemplative traditions that have been debugging consciousness for millennia. The book applies the same systematic methodology from his previous work—modular patterns, iterative fixes, measurable validation—to the mind's perceptual pipeline. But it also leverages his professional toolkit ironically: the same rapid categorization that trapped him, now repurposed to map his own cognitive blind spots.
It's part transformation memoir (showing the journey from analytical blindness to integrated awareness) and part field manual (systematic protocols readers can implement immediately). Each chapter follows the Hero's Journey structure while ending with engineer-tested exercises where neuroscience, psychology, and contemplative practice converge into actionable steps. Written for analytical minds who sense something's missing—data scientists who architect neural networks but struggle with visual communication, engineers who excel at systematic thinking but feel disconnected from direct experience, leaders who make brilliant decisions but wonder if they're actually seeing what's in front of them.
Pasupuleti lives in Hyderabad, with his family, where he continues investigating the intersection of analytical precision and direct perception.
