engineer · researcher · builder of things that probably should have existed already
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Full-stack engineer and deep learning researcher based in Gurugram, India. I work on production systems — APIs, ML pipelines, platforms where reliability matters. 97 repositories in, two Azure certifications, and still picking up new things every week. What keeps me going: knowing something I shipped made someone's workflow a little less painful. Not the architecture diagrams or the tech stack — the moment a user doesn't have to think about how it works. That's when you know the code is right. I teach what I learn. I document what I build. And I try to write code that the next person can actually read without wanting to rewrite it. |
const aryan = {
location: "Gurugram, India",
focus: "building what matters",
languages: ["Python", "TypeScript",
"JavaScript", "Java", "C++"],
frontend: ["React", "Next.js", "Tailwind",
"Vite", "Electron"],
backend: ["FastAPI", "Express",
"Flask", "Node.js", "Django"],
data: ["PostgreSQL", "Azure SQL",
"Cosmos DB", "MongoDB",
"Redis", "SQLite"],
cloud: ["Azure", "Docker",
"GitHub Actions", "Vercel"],
research: ["PyTorch", "TensorFlow",
"OpenCV", "Scikit-Learn"],
certified: ["AI-900", "DP-900"],
}; |
"The best engineers I know don't have a favorite language.
They have a favorite problem."
| languages | |
| frontend | |
| backend | |
| ai / ml | |
| databases | |
| cloud & ops |
amber = core identity · blue = tools I reach for
"I've never built anything because it was trending.
Only because it was missing."
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Wanted to understand how machines actually see — not in textbooks, in working pipelines. CNN, RNN, LSTM end-to-end: research to deployment. Built as a reference for anyone starting from zero.
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Sales teams losing deals because agents couldn't surface answers fast enough. Real-time AI that listens to live calls and feeds the right response before the silence gets uncomfortable.
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Explained REST APIs to five different people. Sixth time, built something they could read instead of asking me again. Express + FastAPI + SQLite. Every endpoint documented, tested, runnable.
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Deep learning research with actual reproducibility — not a notebook that only works on one machine. Migratory bird classification: custom augmentation, multi-stage training, published results.
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Passed the cert, then turned everything into notebooks so I'd actually remember it six months later. Every AI-900 domain, hands-on, exercise-driven, explained like you're sitting next to me.
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Yes, another to-do app. Except this one runs on Azure SQL in production and handles real errors — because pretending the happy path is the only path is how things break.
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Five APIs. One weekend. One question: what does it look like when real-time data from everywhere converges in one place? React + Express. Multiple integrations. Live data.
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A junior asked how to practice Linux without breaking their laptop. This existed the next day. Browser-based terminal — Linux and Git commands, no install, no risk.
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"Streaks don't prove talent.
They prove you kept showing up when it stopped being fun."
Every system I've built taught me something the last one didn't. Every person I've helped reminded me why I started doing this.
If something I made saved you an afternoon of frustration or helped you understand something that wasn't clicking — that's the whole point.



