About Liam
Senior AI & iOS Developer with 10+ years of experience building and shipping high-performance mobile products across healthcare, fintech, retail, and education. Combines deep expertise in Swift, SwiftUI, Core ML, TensorFlow Lite, and AI-powered mobile architecture with strong backend and cloud skills in Python, FastAPI/Flask, AWS, REST, and GraphQL. Known for leading cross-functional teams, turning complex AI capabilities into reliable user-facing features, and delivering measurable impact — including lower crash rates, faster on-device inference, and production apps with enterprise-grade stability and scale. Brings a rare blend of mobile engineering, machine learning integration, and product delivery to create intelligent, scalable, AI-first experiences.
English
Fluent
Remote only
Primarily works remotely
Experience
- Apex AI Technologies / RemoteSenior AI & iOS DeveloperHEALTH AND WELLNESSMay 2024 - May 2026 (2 years)Sydney, Australia
- Led iOS and AI development for a production AI‑powered mobile platform serving 5+ monthly active users across Australia, New Zealand, and Southeast Asia.
- Developed 15+ iOS apps using Swift, UIKit, and Swift UI, integrating Core ML, Create ML, and custom TensorFlow Lite models for on‑device inference.
- Delivered 10+ AI features including natural language chatbots, computer‑vision object detection, predictive analytics, and personalized recommendation engines.
- Architecture and deployed production ML pipelines using Python (TensorFlow, PyTorch, sci-kit‑learn) with Flask/Fast API backend on AWS, and designed RESTful and GraphQL APIs for mobile clients.
- Implemented real‑time on‑device AI inference with Core ML, Vision, and Natural Language frameworks, reducing inference time by 60% through optimization and quantization.
- Led a cross‑functional team of 6 iOS developers and 4 AI engineers, achieving 99.9% uptime and sub‑200ms inference latency for AI features.
- AppForge Studios/RemoteIOS DeveloperE-COMMERCEMarch 2016 - March 2018 (2 years)Brisbane QLD, Australia
- Developed 12+ native iOS applications using Swift, UIKit, and Objective-C (legacy support).
- Implemented features including push notifications, payment processing (Stripe, Apple Pay], and real-time chat (WebSocket/Socket.IQ] . Built and integrated RESTful APIs using Node.js and Express for mobile backends.
- Conducted extensive device testing and performance optimization for iOS devices.
- Managed App Store submissions, ensuring compliance with Apple guidelines
- Gained foundational experience in iOS development, Al integration, and agile workflows.
- DigiCore LabsiOS Developer | healthDIGITAL AND ITApril 2018 - April 2024 (6 years)Melbourne VIC, Australia
- Led development of 20+ production iOS apps for enterprise and startup clients across healthcare, fintech, retail and education.
- Architecture and delivered Al-powered features such as OCR document scanning, facial recognition, and GPT-based sentiment/chatbots, integrating Open Al, Google Cloud Al and Amazon Recognition.
- Built reusable IOS frameworks and ML pipelines to standardize Al components and accelerate delivery across projects. Developed cross-platform React Native apps with shared Al modules for clients requiring both iOS and Android support. . Owned full app lifecycle from requirements and architecture to testing, App Store deployment and post-launch support, driving measurable quality gains. Reduced app crash rates from 2.5% to 0.2% through targeted testing and performance tuning.
- Mentored 5 junior developers in Swift, Core ML and React Native, improving team productivity and code quality.
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Education
- BE in Software EngineeringUniversity of Wollongong, Wollongong, New South Wales, Australia2015Led a 3‑person team to design and deliver an AI‑powered mobile health app featuring on‑device inference with TensorFlow Lite and a Flask backend for data sync.Implemented end‑to‑end solutions including mobile UI (Swift), ML model integration, RESTful APIs, and unit/integration testing.Relevant coursework: Machine Learning, Mobile App Development, Software Architecture, Data Structures & Algorithms, Databases.Developed practical skills in Swift, Python, TensorFlow, model optimization, and agile development processes.
- Graduate Diploma in Artificial Intelligence & Machine LearningUniversity of Melbourne, Melbourne, Victoria, Australia2016Specialization: Deep Learning, Natural Language Processing, and Computer Vision | Completed coursework in neural networks, reinforcement learning, and AI ethics