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Onsense AI builds dedicated ML infrastructure for equipment repair — private LLMs and AI agents trained specifically to help technicians, OEMs, and support teams diagnose and resolve repair issues faster. Beyond the core web and mobile products, the platform needed to move from AI as a bolt-on feature to AI agents as a core part of how support, diagnostics, and technician workflows actually run.
What I work on
I work across the full stack — architecting the platform's Turborepo monorepo, building Next.js web dashboards and NestJS backend APIs, and shipping the React Native (Expo) mobile app for iOS and Android. Alongside that, I'm part of a small team (2-3 engineers) building out the Backend for ERP system, developing frontend for apps and building mobile apps for android and iOS
Stack:
Next.js and NestJS for web and backend
React Native (Expo) for mobile
AI integrations
PostgreSQL, Redis, Docker across the platform
GitLab CI/CD and Playwright/Jest for testing and deployment
What shipped
A production platform where AI agents aren't a separate feature but a working part of the support and diagnostics experience — backed by a full-stack team handling everything from infrastructure to the agent layer itself.
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Stop rebuilding the same Shopify mobile app from scratch. 📱⚡
I just released a 100% FREE + OPEN SOURCE React Native + Expo Shopify template for building native ecommerce apps on iOS and Android.
It already includes:
• Product + collection browsing
• Variants
• Cart state
• Shopify Storefront API integration
• Native Shopify checkout
• Expo Router
• MobX
• TypeScript
• Demo data so you can run it before connecting a store
Built for developers, agencies, indie hackers, and Shopify brands that want a real native starting point instead of another throwaway demo.
Clone it. Fork it. Customize it. Ship it.
No paywall. No license fee. MIT licensed.
Check it out on Contra 👇
https://contra.com/products/CsuvbKXC-react-native-expo-shopify-template
If it saves you time, give the repo a ⭐ and share it with someone building in React Native.
#ReactNative #Expo #Shopify #OpenSource #TypeScript #MobileDevelopment #Ecommerce #IndieHackers
just shipped the core of Skillship — an AI-powered LMS built for schools.
One platform, many schools, and one rule that shaped every decision: School A must never see School B's data. Tenant-scoped models, filtered querysets at the base class, UUIDs everywhere.
Four AI features live:
— Career Pilot: personalised career paths for students
— Question generator: chapter PDF in, board-aligned MCQs out
— Adaptive quizzes: difficulty follows actual performance
— Semantic search: teachers ask in plain English, pgvector finds the material
Django + DRF for the LMS core, a separate FastAPI service for all AI work (Gemini + a pgvector RAG pipeline), Next.js 14 on the front. Django brokers every AI call — the AI layer never touches the browser.
The hard part wasn't the AI. It was making multi-tenancy boring enough that no future dev can leak a school's data by accident.
Open for new work — full-stack builds, AI integrations, RAG pipelines, multi-tenant SaaS. Send me a project.
The tenant boundary is where I'd put the first failure test. I'd try to make a user from one school retrieve another school's record before I trusted any of the AI features.
Loxala is a freelance marketplace connecting clients with verified freelancers through secure escrow payments, an AI-driven "Skill Matcher" for job recommendations, and a reputation/leveling system. I worked on this as a Full-Stack Developer on the engineering team at Airbridge Devs, contributing to vendor/freelancer management features, customer flows, and admin dashboards using NestJS, React, Next.js, and PostgreSQL
