Go It
A privacy-first recurring events platform built with React Native, Expo, TypeScript, and Supabase. The work spans onboarding, navigation, database schemas, RLS, EAS builds, OTA updates, and release management.
Work / image / product
A proof ledger for software, AI production, and visual systems.
The work table
The resume facts become studio proof: product architecture, AI-native campaigns, workflow machinery, and production discipline.
A privacy-first recurring events platform built with React Native, Expo, TypeScript, and Supabase. The work spans onboarding, navigation, database schemas, RLS, EAS builds, OTA updates, and release management.
React Native product work inside a performance-focused consumer app: feature development, Unity island integration through react-native-unity, Mixpanel instrumentation, Meta growth support, CI/CD, and Android release operations.
Mobile and frontend systems across healthcare, telecom, fintech, NFT, and consumer products. Work includes React Native modernization, React 18 redesigns, SIP communication flows, real-time engagement, and CI/CD pipelines.
Generative campaign systems for fashion, wellness, cinematic storytelling, and social-first production. Selected worlds include REAL METAL - DIESEL-LAND, Adidas - Tokyo, SHE’S, Gentle Monster x JoJo, and MUCK Everyday Wash. Currently in progress: Dark Mediterranean, Airport Checkpoint, and You’re Late, Rabbit.
Structured AI production pipelines using Runway, Weavy, ComfyUI, LoRA concepts, modular prompting, visual continuity systems, node workflows, Python scripting, and API-connected rapid prototyping.
The studio site itself, built as its own first case. A briefing that teaches the categorisation before showing any work, an index built as a viewfinder rather than a grid, and a small tool that turns a Notion campaign page into a case page. Plain HTML, CSS, and JavaScript with no framework or build step.
Offline AI-assisted translation and summarization workflows for sensitive creative documents, built with Flask, React, Docker, and localized ML thinking for secure production environments.