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, and Python.
This is a learning-first technical publication for people curious about software, system design, cloud, data, AI/ML, and coding for strong engineering roles. The goal is simple: make serious topics useful, practical, and worth returning to.
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Blog Library
Articles that explain core computer science, cloud, data, AI/ML, system design, and Python in a practical way.
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Study Materials
Structured notes, revision guides, and concept breakdowns for interview prep and deeper understanding.
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Projects
Proof of execution through hands-on work, case studies, and things I have built while learning in public.
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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
If the site grows into a useful learning hub, these are the paths people should take first.
The homepage now aims to speak to learners, engineers, and interview-focused readers without boxing the site into one niche.
Start with foundations
General CS, Python, and core problem-solving
Use the blog and study sections to build strong intuition before going deeper into systems and data.
Go deeper
System design, cloud, and architecture thinking
Learn how software scales, why tradeoffs matter, and how strong systems are reasoned about.
See execution
Projects and applied engineering work
Read case studies and real builds to connect theory with implementation and engineering judgment.