Melbourne, AU

VihangaMihirangaMalaviarachchi

I’m in my Honours year of Computer Science at Monash. Most of my time goes to deep learning and backend work. I build for the web too.

View work Email CV

0101101001011010010110100101101001011010010110100101101001011010010110100101101001011010010110100101

1010010110100101101001011010010110100101101001011010010110100101101001011010010110100101101001011010

0101101001011010010110100101101001011010010110100101101001011010010110100101101001011010010110100101

1010010110100101101001011010010110100101101001011010010110100101101001011010010110100101101001011010

0101101001011010010110100101101001011010010110100101101001011010010110100101101001011010010110100101

1010010110100101101001011010010110100101101001011010010110100101101001011010010110100101101001011010

01 · Axle

Axle: Yet another terminal coding agent.

It's a coding TUI inspired by Claude Code and OpenCode and is mostly written from scratch on top of OpenTUI library. It combines features I like from popular coding agent interfaces and automates some of the manual workflows that I use daily.

Axle running in a terminal, with the subagent panel on the left, the transcript in the middle, and a diff on the right. — Axle auditing its own source code with the help of multiple subagents. Meta stuff 😎

$npm install -g @vm2/axle

It’s invite only for now. Email contact@vihangamihiranga.com and I’ll send you a code.

02 · Projects

Some cool stuff.

In no particular order. I built most of them thanks to my intellectual curiosity.

ByteTok

Byte-level BPE tokenizer, trained in Rust

Source on GitHub

$pip install bytetok

A byte-level BPE tokenizer bundled as a Python package with the training and encode/decode pipeline written in Rust.
Encoding and decoding both run in parallel and on large batches, the average speed is roughly 15 MB/s in and 77M tokens a second out.

PythonRust

03 · Stack

What I use.

The most random tech stack. I haven't used Java in 3 years and I don't recommend LangChain to anyone.

Languages09

TypeScript

JavaScript

Python

Rust

C++

Java

SQL

Infrastructure & Tools11

AWS

Cloudflare Workers

Docker

PostgreSQL

SQLite

Prisma

Bun

Vite

Git

GitHub Actions

Postman

Libraries & Frameworks12

React

OpenTUI

TanStack Start

Tailwind CSS

Hono

Gin

gRPC

Vercel AI SDK

PyTorch

LangChain

LangGraph

ChromaDB

04 · Education

Monash, 2022 to 2026.

I finished the undergraduate degree in 2025, majoring in algorithms and data structures. Honours is mostly thesis, and mine is on detecting audio deepfakes.

2026

Bachelor of Computer Science (Honours)

Monash University · Melbourne, Australia

In progress

Supervised in partnership with the Australian Federal Police.

Cloned voices show up in scam and impersonation calls a lot, and people are bad at catching them. Current detectors fail once the audio stops being clean, where their accuracy degrades when the clip is shortened, run through phone-quality compression, or generated with a system the detector hasn’t seen before.

My thesis tests whether representing audio as discrete tokens can improve detection compared with the continuous features commonly used today. I am building a pipeline that keeps the same benchmarks and self-supervised speech encoders, changing only the representation.

2022 to 2025

Bachelor of Computer Science, Algorithms & Data Structures

Monash University · Melbourne, Australia

Graduated December 2025

05 · Contact

I’m looking for work in deep learning, backend infrastructure, and AI agents.

I’m based in Clayton, happy to travel anywhere around Melbourne, and fine with remote. Email is the fastest way to reach me, and I’ll usually reply within three days.

Emailcontact@vihangamihiranga.com GitHub@VihangaFTW LinkedIn/in/vihanga-malaviarachchi