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Computer Science — Roorkee Institute of Technology

Adarsh
Arya

“I don't just write code.
I turn problems into working products.”

I turn real-world problems into usable, working software.

Adarsh Arya Portrait

About

A résumé lists what I've done. This space exists to prove what I can actually build.

Hey! I'm a 2nd Year B.Tech Computer Science student at Roorkee Institute of Technology. My work sits at the intersection of applied machine learning, systems engineering, and real-world deployment — building infrastructure that operates under constraint: intermittent connectivity, embedded hardware, multi-role access control, and latency requirements that don't bend.

I don't measure progress by the number of projects I've built, but by the problems they've solved.

Outside of writing code, I lead developer communities, mentor teams, and spend an unhealthy amount of time asking one question:

"Can this be built better?"

That's the question that drives everything I create.

Philosophy

I never start with a programming language.

I start with a problem.

Every project begins by understanding what's broken, why it matters, and who it affects. Only then do I decide what to build and which tools deserve a place in the solution.

Whether it's designing AI that understands roads, improving healthcare accessibility, or building secure full-stack systems, I care more about solving the right problem than using the newest technology.

I build software that people can trust, maintain, and grow—not software that's impressive for a single demonstration.

Each project here was independently architected, engineered, and shipped — spanning the full stack from ML pipeline tuning and real-time WebSocket infrastructure to PyInstaller packaging and Firebase security rule design.

"I write software I intend to maintain, not prototypes staged for a demo."

Status

Currently working on

Currently drafting a research paper for IRIS (Intelligent Road Inspection System), detailing its real-time computer vision pipeline and municipal review workflow. The project is open-access and published on Zenodo (doi.org/10.5281/zenodo.20868862). Simultaneously, building user interfaces for AI products as a Front-End AI Engineering Intern at FlyRank AI.

Experience

2026 — Present

Front-End AI Engineering Intern FlyRank AI

Applying my engineering skills to real AI products by building scalable React.js interfaces for a US-based startup.

2025 — Present

Tech Lead GDGoC RIT (Google Developer Groups on Campus)

Organizing and Hosting Technical Events under Google Developers Group

Tech Lead at GDGoC RIT (Google Developer Groups on Campus)
2025 — Present

Project Lead & Backend Developer Team Grey Hats

Led the team behind IRIS, MediBridge, AEGIS, and SidekickAI across national and institutional hackathons.

Capabilities

Languages

  • Python
  • TypeScript
  • JavaScript
  • Java
  • C

Frameworks

  • React
  • Next.js
  • Node.js
  • Flask
  • Tailwind CSS

Systems & Data

  • Firebase
  • REST APIs
  • WebSockets / Real-time
  • SQLite
  • Embedded Systems

Applied ML & Security

  • Computer Vision (YOLOv8)
  • Penetration Testing
  • Network Security
  • Cloud Computing

GitHub Activity

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