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Shameek Agarwal
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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 ...

Agentic AI

Basics n8n - low / no code tool for workflow automation e.g. i put in the chat “what is 2 added to 3?” it clearly showed that it interacted with the calculator tool to give the answer in...

LLM

Exploring Top Models and Transformers “ollama” - helps us run llm on our machine directly. uses llama.cpp underneath we can see the different models available by here - https://ollama.com/sea...

Personal Finance

Budget know and track where to spend how much these apps can connect to bank accounts, give reminders and suggestions, etc 50:30:20 rule - this is not rigid. 50% on needs, 30% on wants and ...