Aroze

Aroze

Backend Developer in London, She/Her

About

Hey! I'm Aroze, a computer science student pursuing a path in software engineering.

I'm fluent in Java and Kotlin and have several years of experience with Minecraft development frameworks including the Spigot/Paper API, NMS, and an understanding of Minecraft networking/packets.

I have a range of projects I work on as a hobby and a learning opportunity to the fullest extent; I love the idea of learning by doing, rather than blindly following courses. Most of my large projects have been Minecraft plugins/servers and Discord bots, some of which have been pretty successful, and are further outlined below :3

Work Experience

2023 — 2023
Remote

Hoplite is a highly scalable minigames network built for capacities above 1500 players in performance-heavy game modes, owned by Youtuber SpeedSilver (3 million+ subscribers).

Here, I was responsible for various unique and scalable minigames with code that needed to run on the edge in terms of performance along with ensuring to include some awe-inspiring aesthetics, ranging from GUI's, chat messages, scoreboards, etc, to really unique and attractive cosmetics like kill effects and victory dances.

Additionally, during my time here, I was the sole developer of the Discord bot, providing convenient and elegant tools for moderators like a fully-fledged ticket system with logging and a very refined user/moderation experience. Since I was the sole maintainer of this project when it was started, I ensured that code-wise, I designed everything in a way that would be easy for others to expand on in the future.

Projects

2023

Moving away from Minecraft servers, Snuggles is a general-purpose Discord bot I made with the primary purpose of putting an end to outdated practices, unpolished features, and asking users to pay for features that really should be free.

Currently, Snuggles is in over 30 Discord servers watching over 7k members, and has had around 3k slash commands executed, with over 35k responses to other types of interactions.

2022
Daunted

Daunted is one of many Minecraft servers I've owned and developed, averaging ~100 concurrent players and having a unique, competitive yet modern and balanced concept that players really enjoyed. In Daunted's first few weeks alone, it had reached 50k unique joins, 1k Discord members, and several hundreds in revenue.

2020
ArUwU

This was the first proper Minecraft server I made that took off, I think I was around 12 when I started it, the premise of ArUwU was simply a fair, non pay-to-win pit-pvp server. My goal with ArUwU was to create the most refined experience possible for our players - this meant some really well-made aesthetics and extremely fluent gameplay. ArUwU would average 30-50 players and in its lifetime, it racked up ~90k unique joins and ~800 Discord members.

2019
UwUGuard

UwUGuard is a private, packet-based, efficient yet very powerful Minecraft anti-cheat I've been developing and gradually improving on for the past few years - at first it was just some auto-clicker prevention for a really old server of mine, but over time, I've been learning a lot about anti-cheats and cheat detection methods.

Slowly I started developing some movement and then combat detections and now UwUGuard is refined to a point where it can detect altering vanilla movement by under a millionth of a block, flawlessly without falsing and with extreme efficiency, having little to no impact on the server.

UwUGuard has been used on almost every public server of mine which has really helped to test and is what primarily motivated me to continue working on it. Over its lifetime, UwUGuard has banned over 100k cheaters and has logged millions of cheating alerts.

Volunteering

2023 — Now

Minehut is one of the largest Minecraft networks and hosting providers. Here, I'm responsible for keeping services relating to Minehut safe and moderated, this includes:

- Their in-game service (several million unique monthly players)
- Their Discord server (~130k members)
- Their forums page

Additionally, for Minehut's self-advertising service, I've developed internal tools to help catch users who are "botting" (unfairly automating the self-advertisements). This relies on statistical and heuristical analysis of the user's actions as well as machine-based pattern recognition, attempting to find any non-human anomalies in the data collected. The methods I've implemented for this work incredibly well and severely alleviates the issue at hand.

Contact

Discord
GitHub
Website