Available for graduate roles · Australian citizen · Graduating November 2026

Hi, I'm Pouya

Graduate Software Engineer

Full-Stack, Mobile & Applied AI · Graduating November 2026

I build accessible full-stack web applications, Flutter mobile products and applied AI experiences using TypeScript, React, Next.js, Flutter and Python. I am the co-founder of the Syllabus Sync ecosystem, selected for the Macquarie University Incubator.

Macquarie University · Bachelor of Information Technology · November 2026Sydney, Australia

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TypeScript●React●Next.js●Flutter●Dart●Python●PyTorch●Supabase●PostgreSQL●Tailwind CSS●Node.js●REST APIs●Vercel AI SDK●Vitest●Playwright●GitHub Actions●CI/CD●Accessibility●

Featured Work

01Projects

Full-Stack WebDec 2025 – Present

Syllabus Sync Ecosystem — Student Experience Platform

A connected student-experience platform co-founded for Macquarie University students, supporting academic planning, deadlines, campus information and student productivity. Built with Next.js, React, TypeScript and Supabase, with accessibility, multilingual support, automated testing and CI/CD.

Next.jsReactTypeScriptSupabasePostgreSQL

GitHub Live PlatformView Details

Applied AI ProductJul 2026 – Present

Sylla — AI-Powered Study Assistant

An AI-assisted study application with streaming conversations, persistent history, saved content and reusable tools for summaries, explanations, flashcards, quizzes and structured study planning. Designed to work independently and within the Syllabus Sync ecosystem.

Next.jsReactTypeScriptTailwind CSSVercel AI SDK

GitHubView Details

Mobile DevelopmentMar 2026 – Present

MQ Navigation — Flutter Campus Navigation Companion

A Flutter-based campus navigation companion for Macquarie University students, visitors and Open Day attendees. It supports campus discovery, route previews, transport information and destination deep links from Syllabus Sync.

FlutterDartGoRouterDeep LinkingGitHub Actions

GitHubView Details

AI / Machine LearningApr 2026 – Jul 2026

CIFAR-10 Image Classification — PyTorch Benchmark

An end-to-end image-classification project comparing a custom CNN, MobileNetV2 and ResNet-18 under controlled training and transfer-learning conditions. ResNet-18 achieved 87.48% test accuracy. The project includes Grad-CAM interpretability, INT8 quantisation, CLI inference and a live Gradio deployment.

PythonPyTorchtorchvisionNumPyGradio

GitHub Live DemoView Details

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Focus

02What I Do

Full-Stack Development

Building accessible, database-driven web applications using React, Next.js, TypeScript, Supabase and PostgreSQL, with authentication, secure data access, testing and CI/CD.

Mobile Development

Building cross-platform Flutter applications with Dart, responsive interfaces, app navigation, deep linking, local data and automated testing.

Applied AI

Developing AI-assisted product experiences and machine-learning projects using Python, PyTorch and the Vercel AI SDK, with streaming interfaces, model evaluation, interpretability and live deployments.

Tech Stack

03Skills & Tools

Languages

TypeScriptJavaScriptPythonDartSQLJavaHTMLCSS

Frontend & Mobile

ReactNext.jsFlutterTailwind CSSResponsive DesignAccessibilityDeep LinkingState Management

Backend & Data

SupabasePostgreSQLNode.jsREST APIsAuthenticationRow-Level SecurityDatabase-Driven Applications

Applied AI & ML

PyTorchVercel AI SDKGradioTransfer LearningModel EvaluationGrad-CAMComputer VisionPrompt Engineering

Testing & DevOps

GitGitHubGitHub ActionsVitestPlaywrightFlutter TestingCI/CDVercel

Open to Graduate Software Roles in Sydney

I am looking for graduate and junior engineering roles where I can contribute to real product development, learn from experienced engineers and continue strengthening my software-engineering fundamentals across web, mobile and applied AI.

Get in Touch About Me

Australian citizen · Available for Sydney-based on-site, hybrid and remote opportunities