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Freshman at USYD :)
Interests: Rust, ML/DL, Web3

Portfolio: abyanmajid.vercel.app

Personal projects

2024

  • revise-badvcomp (Rust, TypeScript) — Axum Web API (with NextJS UI) for generating practice problems for BAdvComp units. (FINISHED)
  • zetafy/flarenotes (Go, TypeScript) — Note-taking/sharing app built with Gin Gonic, Supabase, and Next.js (WORK IN PROGRESS)

2023

  • canute (TypeScript) — NextJS quiz-making web app with Server Actions-leveraging Mongo backend. (FINISHED)
  • hyte (Rust) — Hypothesis testing library crate for Rust with support for Z, T, and Chi-squared tests. (FINISHED)
  • zetafy/abelardo (Python) — Discord bot that generates ELEC1601 practice problems. (FINISHED)
  • dyckvis (JavaScript) — Static web app for visualizing dyck paths. (FINISHED)

2022

  • serambimungil (Python) — Django web app for a small store, built with the model-template-views architecture. (FINISHED)
Skills

Programming Languages

  • Extensive use: Rust, TypeScript/JavaScript
  • Some experience: Go, Java, Python, C#, C, R
  • Markup: LaTeX

Fullstack Development

  • Practical skills: UI/UX, Web Services/API, Databases, Containerization, CI/CD
  • Technologies
    • Extensive use: Next.js/React.js, Axum.rs, Docker, Supabase, GCP, Vercel
    • Some experience: Svelte.js, PostgreSQL, MongoDB, Gin Gonic, AWS, Firebase, Django, Shuttle, Express.js

Data Science and AI

  • Practical skills: Supervised Learning, Data Visualization and Manipulation
  • Technologies
    • Some experience: TensorFlow, RStudio

LinkedIn Discord Gmail

Abyan's Projects

canute icon canute

Quiz-making app leveraging Next-14 Server Actions

dsa icon dsa

My solutions to DSA problems + my own testcases

dyckvis icon dyckvis

Dyck paths visualizer built with DOM methods

hyte icon hyte

Hypothesis testing library crate for Rust (Z, T, and Chi-square)

kaori icon kaori

Productivity PWA built with Next.js, Axum, PostgreSQL, Shadcn

notes icon notes

A collection of my study notes and cheatsheets

pw_opencv icon pw_opencv

Pixel Worlds Fishing Script which uses: (1) MSS for Computer Vision, and (2) OpenCV for Template Matching

serambimungil icon serambimungil

My IB ITGS IA submission; Web application built with Django

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