Backend-Focused Full-Stack Developer | GenAI
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You don't have a forgetting problem.
You have a remembering problem.
Introducing DailyBrief — an AI memory assistant that works through WhatsApp.
Send messages naturally. It remembers what matters and brings it back when you need it.
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Grateful to have attended the AI Agent Masterclass by @surajtwt_
Happy to finish Top 2 out of 263 participants in the quiz
Learned more about LangGraph, agent workflows tools and state
Thankful for the opportunity to learn and test my understanding🙌
@Hiteshdotcom @nirudhuuu
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A few months ago, I joined a GenAI cohort to understand how AI applications actually work.
Today, I completed it.
Along the way, I built RAG systems, AI agents, MCP servers, voice agents,and developer tools.
But the biggest shift was learning to ask:
What happens underneath?
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I started looking beyond the LLM call.
How do we design the backend? Handle tools, workflows, memory, and failures?
Still a lot to learn, but my direction is clearer.
Grateful to @Hiteshdotcom @piyushgarg_dev @nirudhuuu .
Certificate earned. The real building starts now. 🎓
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24.51 billion UPI transactions in August 2026.
That's roughly 9,150 transactions every second sustained, for 31 days straight.
As a backend dev, one question stuck with me: what happens in the second between scanning a QR and seeing "Payment Successful"?
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Now put that at scale.
~9,150 transactions/second, averaged across August, means failures and delayed responses are not theoretical edge cases.
Networks fail. Banks timeout. Responses get delayed.
At this volume, failure handling isn't optional.
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Today was the farewell of our GenAI cohort.
It feels a little strange seeing this journey come to an end.
What started as a learning opportunity became months of building, experimenting, making mistakes, debugging, and growing together.
@Hiteshdotcom @piyushgarg_dev @nirudhuuu
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I’m genuinely grateful to @nirudhuuu sir for sponsoring this opportunity and making this journey possible.
And thankful to @surajtwt_ @BlazeisCoding @devwithjay @yntpdotme everyone in the cohort for the learning and memories.
One chapter ends. The journey continues. ❤️
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I made a brand-new Instagram account. Barely touched it.
It still recommended school friends, college friends, my brother, my sister and someone whose number I deleted 3 years ago.
So I dug into how Instagram's Suggested Accounts system actually works.
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Important limit, stated plainly:
Meta's docs explain the categories of signals and the pipeline shape. They don't publish the exact feature values or score behind any single recommendation.
So I can explain the mechanisms. I can't tell you which one fired for me.
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