Hi, I'm

Ryan Donofrio

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Building intelligent systems that ship, from multi-model AI platforms to production applications used by thousands.

View My Work Get in Touch

Experience with

Meta Merck Apple SHU

About Me

Ryan Donofrio

I started building software at age 11 and shipped one of the first apps accepted into Apple's original Apple Watch developer program. That early start grew into over a decade of delivering production software across AI, mobile, VR/AR/XR, spatial computing, 3D modeling, and cloud.

Today I lead a growing development team at IQ Digital, where we build AI-powered platforms, production mobile and web applications, and immersive VR/AR experiences for enterprise clients. My work spans multi-model LLM orchestration, prompt engineering, predictive ML pipelines, real-time backends, and native Swift development.

I hold a B.A. in Computer Science from Rutgers University and studied Immersive Media and Mixed Reality at Sacred Heart University, where I researched VR/AR systems and spatial computing at the NeXReality Lab.

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0 Years Building Software

Experience

Founder & Lead Developer

IQ Digital
2023 - Present
  • Built a production iOS app integrating 400+ AI models from OpenAI, Anthropic, Google AI, Grok, and OpenRouter, routed through Google Cloud Functions with server-side API key encryption, rotation, and session management to keep all keys off-device
  • Engineered intelligent model routing in Cloud Functions that classifies incoming queries by task type and context complexity, then selects the optimal LLM per request with token counting, rate limiting, and retry logic
  • Designed a multi-model consensus pipeline: parallel queries to multiple LLMs, SSE streaming responses, JSON validation, weighted scoring across outputs, and disagreement detection to flag conflicting answers
  • Built prompt engineering systems controlling tone, formatting, length, and quality guardrails per model, with dynamic adaptation based on conversation history and user preferences stored in Firestore
  • Shipped full iOS app in Swift/SwiftUI using async/await, Combine, WebSockets for live voice chat, Firebase Auth, Firestore, Realtime Database, Cloud Storage, Cloud Messaging, StoreKit 2, and RevenueCat for subscription billing

Software Engineer & AI Developer

Axial Digital
2018 - Present
  • Built and shipped VR applications in Unity and C# for healthcare and pharma clients, deploying across Oculus/Meta Quest, HTC Vive, Pico, Apple Vision Pro, and SteamVR
  • Introduced AI into the production pipeline in later years for 3D asset generation, automated code refactoring, and content iteration, significantly reducing production costs within one month of adoption
  • Built real-time data dashboards and automated QA workflows handling content generation and testing across multiple headset platforms for enterprise clients
  • Launched an iOS, iPadOS, and VisionOS application in SwiftUI/Xcode for Apple Vision Pro; selected for early access to collaborate with Apple engineers on spatial computing features pre-launch

Quality Assurance Engineer Consultant

Meta
June 2024 - July 2024
  • Executed 50+ scenario-based tests on prototype hardware, monitoring real-time device communication, latency, and sync performance via diagnostics tools, documenting firmware and connectivity bugs that improved device stability

Software Engineer Intern

Mosaic
May 2023 - Nov 2023
  • Built multiple VR training simulations in Unity, C#, and Azure with 4,000+ controllable scenario combinations driven by a backend CMS, HTTP request handling, and live admin proctored view
  • Incorporated AI into the training pipeline to improve learning and retention, increasing engagement by 28%

Software Engineer Intern

Sacred Heart University, NeXReality Lab
Sept 2021 - May 2023
  • Built multiplayer VR physics simulations using Photon Networking and WebRTC in Unity, rendering real-time equations and calculations while syncing object data and positions to a professor dashboard via Photon RPCs
  • Fully automated the professor workflow: one-click launch, automatic student tracking, live score aggregation; adopted into multiple classes as part of the regular curriculum replacing traditional lab exercises

Software Engineer Intern

Merck Pharmaceutical
May 2021 - Aug 2021
  • Contributed to a 200K+ line Unity/C# codebase building an interactive VR experience on Oculus demonstrating pharmaceutical medications to healthcare professionals

Featured Projects

Multi-Model AI Platform

iOS App with LLM Orchestration

A production iOS app integrating 400+ AI models with intelligent model routing, multi-model consensus pipelines, SSE streaming, and server-side API key encryption via Google Cloud Functions. Built in Swift/SwiftUI with Firebase Auth, Firestore, StoreKit 2, and RevenueCat.

Swift SwiftUI OpenAI Anthropic Google AI Firebase

Real-Time Matchmaking System

Scalable Backend Infrastructure

Architected a matchmaking backend supporting 100K+ concurrent users across AWS regions (US, EU, Asia) using EC2, Lambda, S3, and SNS, with Node.js routing users to the nearest regional server for lowest latency.

AWS EC2 Lambda WebSockets SNS

ML Sports Predictor

Machine Learning Pipeline

77% accuracy on NBA game outcomes, player props, and scores using Python, TensorFlow, and MongoDB trained on 10 years of historical data.

Python TensorFlow MongoDB REST API

Travel Planning Platform

Cross-Platform Itinerary Builder

Built a cross-platform travel app (Swift iOS + web frontend) that unifies flight booking (Amadeus/Skyscanner), hotel reservations (Booking.com), Google Maps/Places, weather forecasts, event discovery (Ticketmaster), and news APIs into a single itinerary builder with budgeting and real-time pricing.

Swift JavaScript Google Maps Amadeus Booking.com Ticketmaster

Production Line Alert System

AI-Powered Notification Backend

Built an AI-powered notification backend that classifies production line errors and routes email/SMS/push alerts only to the responsible manager, replacing noisy broadcast notifications with intelligent per-role routing.

Python ML Node.js SMS/Push Email

REMinder

Intelligent Sleep & Wake System

Built a smart sleep tracking system for Apple Watch and iPhone using CoreML and custom algorithms to analyze REM cycles, HRV, and sleep debt in real time. Features an intelligent wake-up alarm that detects optimal sleep stage transitions and wakes users with haptic feedback at the ideal moment. Includes comprehensive health data visualization, trend analysis, and sleep journaling.

Swift WatchKit HealthKit CoreML watchOS

Skills

AI & Machine Learning

OpenAI API Anthropic API Google AI LangChain TensorFlow PyTorch xAI OpenRouter RAG Systems Agentic Workflows Prompt Engineering Multi-Model Consensus Model Routing

Mobile Development

Swift SwiftUI UIKit WatchKit HealthKit Core Data Combine Firebase App Store Connect Xcode

Languages

Python Swift JavaScript TypeScript C# Java C/C++ PHP Luau SQL HTML/CSS

Cloud & Infrastructure

AWS Firebase Docker CI/CD MongoDB PostgreSQL Google Cloud Functions Azure Redis MySQL REST APIs

VR/AR/XR & Spatial Computing

Unity Unreal Engine ARKit Photon Blender visionOS Meta Quest SteamVR

Web & Developer Tools

React Next.js Node.js Git Figma Jira

Get in Touch

Have a project in mind or want to chat? Reach out through any of the channels below.

LinkedIn ryandonofriord@gmail.com GitHub