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Abhinav Srivastava

Abhinav Srivastava

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How they lie with numbers.

December 7th, 2021
Let me preface this piece by saying that Statistics as a method is not fundamentally flawed, but ask any Machine Learning engineer in your local cafe, and they’ll be quick to tell you that the process of data collection and storage is usually flawed. A new engineer is quick on their feet to go to Kaggle and download a dataset, perform a few cleaning operations, do a little analysis, classification, prediction and update their Linkedin headlines with “Machine Learning Enthusiast”, “AI Expert” and “Data Scientist”. While I find little points of contention with the first two titles, the last one is questionable, since you’re working with what is essentially a DIY data cleaning project, instead of true data processing, but I digress.
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An essay on Rollups

November 10th, 2021
Layer 2 solutions have become an integral part of the Ethereum road-map, especially short term. This is a good time to do an overview on Rollups and talk about the progress on rollups this year.
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Abhinav Srivastava
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On Solidity gas optimisation techniques

November 9th, 2021
High gas fees are a problem that Ethereum currently faces. dApp Builders have to be careful so as to optimise their code to cost the least gas to the user. Let's start with a few obvious places to reduce gas: Minimize what you store on-chain. For example if you're building a blog on Ethereum - store the blog in IPFS and the CID in your Solidity. Later on you can optimise this further.
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An Irrefutable case for Ethereum

November 7th, 2021
“An Irrefutable case for Ethereum” - A thread addressing some of the more common criticisms of Ethereum.
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