Nobody Knows What to Learn For An AI Job. Here's the Map...
Every AI company fits into 3 layers. Once you know your layer, you know exactly what to learn and what to cut from your list.
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The Report Nobody Wants to Read
A rough data breakdown of software engineers, video editors, designers, creators, startups, sales, marketing, agencies, graphics, and arts in India — who's employed, who's not, what they earn, and what AI might replace in the next 20 years. Not a survey. Just me asking Claude the right questions and compiling what came back.
Designing Data-Intensive Applications - Chapter 2: Part 2
My personal notes from the book
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Designing Data-Intensive Applications - Chapter 2: Part 1
My personal notes from the book
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Designing Data-Intensive Applications - Chapter 1.2: Tradeoffs in Data Systems
My Personal Notes from the Book DDIA, where everyweek I learn something related to software engineering and draft an clear article that even a 10 year old can understand the systems and architecture
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Designing Data-Intensive Applications - Chapter 1.1: Tradeoffs in Data Systems
My notes from reading Designing Data-Intensive Applications — breaking down OLTP, OLAP, data warehouses, data lakes, and ETL pipelines with real-world analogies. Part 1 of my learning-in-public series on backend systems.
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Rich Never Reveal Their Secrets
Don't get fooled by those videos, podcasts and books. The baits are everywhere
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