Logistics platform
Customer-facing external API, real-time shipment-tracking portal, and a native iOS app for field updates. Led the build across the stack — from public API contracts to the keyboard-first UI shippers actually use.
ParallelTPA is an AI-first development firm with several years of full-stack and enterprise experience. We build the web, mobile, and e-commerce systems teams need to move faster than the competition.
Frontend to inference to infrastructure. Senior, hands-on experience across the stack.
Production-grade web applications. Next.js, React, modern TypeScript stacks. From prototype to enterprise scale.
Native applications, built fast. Cross-device support across iPhone, iPad, Mac, and Apple Watch — built device-agnostic from day one.
Python ML pipelines, on-device Core ML, LLM integration for product features, fine-tuning when off-the-shelf isn't enough, and vector databases for retrieval and search.
Shopify storefronts, headless commerce, custom apps, and Spree builds. Plus the vendor APIs that connect commerce to the rest of the business.
Customer-facing APIs, internal portals, real-time tracking. We've shipped these end-to-end across the supply chain.
AWS-native architectures, infrastructure-as-code, and serverless when it fits. Built to scale from launch to load.
A book companion app, built end-to-end — design, iOS, backend, infrastructure. Owned, operated, and shipped solo.
Customer-facing external API, real-time shipment-tracking portal, and a native iOS app for field updates. Led the build across the stack — from public API contracts to the keyboard-first UI shippers actually use.
Photographer's storefront migrated from a Ruby on Rails monolith to Next.js with the Shopify API. Faster page loads, simpler stack, room to evolve the brand.
iOS health companion that runs across iPhone, iPad, and Apple Watch. Aggregates metrics, surfaces workout suggestions, analyzes meals — built device-agnostic from day one.
Years of writing software the old way taught us where the leverage is. We use that judgment to know when to lean on AI — and when not to.
Years of full-stack and enterprise experience tell us where AI accelerates, where it stalls, and when to lean on engineering instinct.
Smaller teams. Tighter feedback loops. Fewer handoffs. Working software in front of users early and often.
What we ship belongs in production, not in slide decks. Tested where it matters, instrumented for what comes next.
We work with founders, ops leaders, and engineering teams across e-commerce, logistics, fintech, and consumer software.
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