Kathmandu, Nepal

Hey, I'm Reyone.

I'm a student of computer science who focuses on technology as a whole, looking at how software, data, or AI can solve complex problems and create real value. From my view, the question of 'why' must always come before 'how' when building anything.

Read my story·See my work

01 — Personal

Beyond the code

I was born in Dang Ghorahi, a valley in the midwestern hills of Nepal known as the largest valley in Nepal and often cited as the second-largest in Asia. Growing up amidst its slow-moving rivers, wide fields, and the distinct quiet of a small town taught me to notice the small things a habit of close attention that still shapes how I see the world.

I came to computer science sideways. I became captivated by technologies, their internal workings, and how their sheer abstractness makes people's lives easier without them ever realizing it. For me, understanding how these invisible layers function is a natural extension of my curiosity about patterns and systems.

Outside of building things, I read for pure curiosity delving into anything that surprises or interests me, from the complexities of life, the good and the bad, to the story of how humanity got to where it is today. I also play the guitar and piano, singing and playing the songs I love brings me a deep sense of peace and joy. I value understanding over impressing, and in both my life and my work, I simply try to keep things honest.

The place where I grew up, I would lose myself for hours gazing at the horizon where the massive green fields and hills met the endless sky.

Things I care about

Reading

Driven by pure curiosity delving into anything that surprises or interests me, from the complexities of life, the good and the bad, to philosophy and how humanity got to where it is today.

Photography

Capturing things that reveal beautiful stories or intricate patterns when closely observed, focusing on the detailed textures of nature, animals, plants, and quiet subjects.

Music

Playing the guitar and piano; singing and playing the songs I love brings me a deep sense of peace and joy.

Fitness

Working out for myself it keeps me healthy, highly energetic, and confident.

Teaching

Truly enjoy helping others by understanding their perspective on a topic, finding relatable ways to connect with them, and breaking concepts down in a language they can genuinely understand.

Eventually, curiosity became work.

What started as a desire to understand things turned into a practice of building things.

02 — Professional

Building and Learning things

I work at the intersection of data and software development, moving between the two as the problem demands. Some days that means building systems that help people understand information, make decisions, and notice patterns they'd miss on their own; other days it's writing the software that gets those systems into something usable. Most of my work sits somewhere between analysis and engineering, taking a real, messy problem and shaping it into something that actually works. I care about clarity. I would rather build something small that works well than something large that no one understands.

Right now I'm going deeper into AI i.e classical machine learning and deep learning, and how they're actually applied, alongside AI safety and human-centric AI: what's possible, and what the real risks are.

Experience

A short path, but an honest one.

Dec 2025 — Present

Glacier Systems Inc

Data Analyst | Sotware Developer

Working across data and software as the problem requires building the pipelines that clean and consolidate data, and the applications that put it in front of the people who need it.

What I worked on

Designing data pipelines that turn raw, scattered sources into reliable reporting, and building the Power BI dashboards that surface it for stakeholders. Alongside that, a vendor management platform built in Django and Django REST Framework, with interfaces connecting frontend views to backend logic.

What I learned

Good data and good software are the same problem seen from two sides. A pipeline nobody trusts is as useless as a dashboard with nothing reliable behind it.

PythonDjangoDjango REST FrameworkPower BITailwind CSS

Oct 2024 — Feb 2025

Diyo AI

AI Knowledge Engineer

Helped build the knowledge base behind a RAG-based chatbot, the layer that decides what the model actually knows.

What I worked on

Collecting and structuring information from client websites and documents, organizing it for retrieval, and running quality checks comparing the chatbot's answers against the source material.

What I learned

A language model is only as good as what you feed it. Most of the real work in a RAG system is librarianship, not machine learning.

RAGFirecrawlKnowledge Base DesignQA

Selected work

A few things I have built, and what each one taught me.

Full-Stack Development

RideFix

Code

A full-stack application that takes the vehicle repair process online — owners submit repair requests, workshops accept and manage them through a dashboard, and both sides track progress in real time. Includes secure digital payments through Khalti.

Why I built it

Getting a vehicle repaired usually means a lot of back-and-forth with no visibility into progress. I wanted to build a system where both sides could see exactly where things stood.

What I learned

Two-sided platforms are really two products in one. The owner-facing flow and the workshop dashboard needed to feel completely different while sharing the same backend.

Full-Stack Development

Chariblock

A decentralized charity platform combining blockchain transparency with a Django backend.

Charitable giving mostly runs on trust alone — I wanted to see what it looks like when a donation can actually be verified instead of just promised.

Code

Capabilities

The tools I reach for, grouped by what they help me do.

Building

Next.js, React, TypeScript, Django, REST APIs

Data

Python, SQL, PostgreSQL, Pandas, Power BI, Tableau

Machine Learning

Scikit-Learn, TensorFlow, PyTorch, OpenCV, YOLO, NLP

Infrastructure

Git, Docker, Linux, Google Colab, Jupyter

Currently exploring

Where I am headed next.

Going deeper into how transformer models actually work — not just using them, but reading the papers and re-implementing parts from scratch.

Applied computer vision for real-world, messy environments — not benchmarks, but actual cameras and actual light.

Writing more about what I learn. I have found that explaining things clearly is the fastest way to find out what I do not understand.

Contact

Have an idea, an opportunity, or just want to say hello?

I read every message. The best way to reach me is by email, but I am around on the usual places too.

reyonechaudhary@gmail.com

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