Learners building foundations
For people who want computer science to feel understandable instead of abstract and overwhelming.
Vishal Cherupally
The Science Behind Computers, Software, Data & Python.
A learning-first technical publication for people curious about software, system design, cloud, data, AI/ML, and coding for strong engineering roles.
01
Blog Library
Articles that explain core computer science, cloud, data, AI/ML, system design, and Python in a practical way.
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02
Study Materials
Structured learning paths, pattern-driven lessons, and editorial-depth guides for interview prep and long-term depth.
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03
Projects
Proof of execution through hands-on work, case studies, and things built while learning in public.
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Who this is for
Engineers exploring data and AI
For readers moving across data engineering, machine learning, and practical software systems.
Interview-focused builders
For people aiming at strong product companies and looking for content that sharpens both depth and execution.
Start here
Three paths into the content — pick the one that matches where you are.
Start with foundations
CS, Python, and core problem-solving
Build strong intuition before going deeper into systems and data.
Go deeper
System design, cloud, and architecture
Learn how software scales, why tradeoffs matter, and how strong systems are built.
See execution
Projects and applied engineering
Connect theory with implementation through real case studies.