YA

Builder, problem-solver, and creator of Spott making it easier for people to find what’s happening around them in real time.

About

Builder, problem-solver, and creator of Spott making it easier for people to find what’s happening around them in real time.

  • Joined November 2025

Industry experience

  • Software & Internet
  • Media & Entertainment
  • Computers & Electronics
  • Professional Services

Work experience

Founder & Full-Stack Developer · Spott (Social Event Discovery Platform)Aug 2025 – Nov 2025 · 4 mos

Launched a scalable real-time mobile application that reached #20 on the Australian App Store during its first week. Architected and deployed a full-stack solution using React Native, Supabase (PostgreSQL), and TypeScript. Implemented AI-assisted moderation using OpenAI and automated workflows (n8n), reducing manual review time by ~60%. Developed SQL triggers and database views supporting ranking algorithms, push notifications, and dynamic feeds. Scaled to close to 10,000 users and established partnerships with event communities using Agile iteration. Grew platform Instagram to 11.3K followers in 3 months, driving acquisition through targeted content strategy. Published live applications on App Store and Google Play.

Founder & Full-Stack Developer · SpottAug 2025 – Nov 2025 · 4 mos

Launched a scalable real-time mobile application that reached #20 on the Australian App Store in its first week; Architected and deployed a full-stack solution using React Native, Supabase (PostgreSQL), and TypeScript; Implemented AI-assisted moderation using OpenAI and automated workflows (n8n), reducing manual review time by ~60%; Developed SQL triggers and database views supporting ranking algorithms, push notifications, and dynamic feeds; Scaled to ~10,000 users and established partnerships with event communities using Agile iteration; Grew platform Instagram to 11.3K followers in 3 months; Published live applications on App Store and Google Play.

AI Project Developer – Virtual Fashion Try-On System · Independent ProjectFeb 2025 – Feb 2025 · 1 mo

Developed an end-to-end computer vision pipeline using a custom-trained YOLOv8 segmentation model. Processed a 50,000-image dataset using PyTorch and A100 GPU compute (Paperspace). Optimised inference performance to sub-25 seconds using API chaining and post-processing.

Education

Bachelor of Information Technology · La Trobe University2030 – 2026
Bachelor of Information Technology · La Trobe University2030 – 2026

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