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Shameek Agarwal
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AI Tools

Claude Code Getting Started terminal first design, uses claude 4 sonnet specialized agents for code review, research, bug fixes, testing, etc integrates with github, jira, etc via mcp re...

High Level Design V

RESHADED Approach it is a strategy we can use to solve problems design problems “requirements” - gather the requirements and scope the problem “estimation” - estimate the resources (hardwar...

High Level Design IV

Physical Time we need time for various use cases in distributed systems - record when an event happened in logs, databases, etc when to expire things from cache measure p...

Indian History

Ancient India first came adivasi - inhabited as nomads, not much archaeological evidence then came the “indus river valley civilization” around ~ 3000 BC along the indus river other civil...

Machine Learning

Supervised Machine Learning “supervised machine learning” - labels are associated with certain “features” a model is trained, and then it can make predictions on new features e.g. predictin...

High Level Design III

Interview Pointers clear both functional and non functional requirements questions about data what is the current size of data? what is the rate of incoming data? what ...

High Level Design II

Caching “cache” - temporary data storage to serve data faster by keeping data in memory it only stores the most frequently accessed data caches use the principle of “locality of reference” ...

MCP

Getting Started mcp servers can be run locally, or they can be deployed in the cloud and managed by someone else local quickstart example - download this repo i went into the weather-server...

Computer Network

Introduction “internet” - network of computer networks “computer network” - group of interconnected computers internet history - as part of the cold war, the soviet union launche...

Agentic AI Mastery

Langchain Basics open source framework with tools and abstractions for building llm applications llama index is an alternative to langchain. but langchain is more popular below, we discuss ...