Systems & Sidequests
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Welcome to Systems & Sidequests
I'm Pranshu Raj, a backend engineer and systems thinker. This is my blog about backend systems, real-time infrastructure, and building useful software.
I write to understand, I share to remember.
This space is dedicated to exploring complex technical topics, dissecting real-world systems, and sharing the journey of creating better software.
Work with me
Featured
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How I Shrunk My Docker Image size by 48x (and Cut Build Time in Half)
Updated: at 10:55 PMHow to optimize (and benchmark) docker image builds for build time and image size.
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Scaling Server Sent Events - A practical guide to 28,000+ concurrent connections
Updated: at 12:31 PMUnderstanding Server Sent events and it's use cases, advantages over other realtime protocols.
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Building a Python Package to Turn Unstructured Data into Financial Insights
Updated: at 02:20 PMHow we built concall-parser to extract structured insights from messy earnings call transcripts, dealing with PDFs, text processing, and speaker identification challenges.
Recent Posts
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28K+ connections, zero messages
Published: at 03:08 PMHow I learnt about Go's concurrency patterns the hard way.
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Blogs (and discussions, threads) that I found interesting
Updated: at 10:55 PMCollection of blogs, discussions, threads on twitter I found interesting, which I intend to explore deeply.
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Tech I find interesting
Updated: at 10:55 PMCollection of tech I found interesting, which I intend to explore sometime in the future.
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Building an AI LinkedIn Sourcing Agent (Full version)
Updated: at 12:52 PMHow I built a complete recruiting pipeline that finds candidates, scores them intelligently, and generates personalized outreach
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Designing a minimal, local-first version of lichess.
Published: at 08:52 PMHow I'm planning to build tinychess, and what I've learnt so far while preparing to build it.
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A quick introduction to data modeling in real world applications
Published: at 08:52 PMWhat data modeling is, why it's so useful, how can we do it effectively to get the best results for our use case.