If your roadmap includes ARKit, Computer Vision, LiDAR, RoomPlan, or Spatial Computing, you're probably not looking for a typical mobile developer.
You're looking for someone who has already solved similar problems.
Over the past few years, I've had the opportunity to contribute to products built by startups and established companies including Q.ai (acquired by Apple), Arpalus, Resonai, Polarsteps, Evooia, ShotSense Golf, and Clopinz Golf, working on challenges involving ARKit, Computer Vision, Spatial Computing, mobile SDKs, and performance-critical native applications.
I specialize in ARKit, Computer Vision, Spatial Computing, LiDAR scanning, RoomPlan, and real-time AI pipelines running directly on mobile devices.
Over the last 10+ years I've built native iOS and Android products, but my primary focus today is helping startups and product teams solve difficult technical challenges involving ARKit, Computer Vision, Machine Learning, 3D Reconstruction, and Spatial Computing.
Whether you're building an AR experience, a scanning solution, a digital twin platform, a fitness product powered by pose estimation, or a custom Computer Vision SDK, I can help take it from prototype to production.
πππππ‘ππππ©π¨
β 10+ years building native mobile products and SDKs
β 5+ years focused on ARKit, Computer Vision, and Spatial Computing
β Delivered production applications using ARKit, RealityKit, Core ML, Vision Framework, ARCore, OpenCV, and custom Computer Vision pipelines
β Built solutions involving LiDAR scanning, RoomPlan, floor-plan generation, object detection, pose estimation, face tracking, body tracking, and scene understanding
β Extensive experience optimizing ARKit and Computer Vision pipelines to run smoothly on real devices at production scale
β Rapid prototyping and proof-of-concept development for technically risky products
π ππππ© π πΎππ£ πΏπ€ ππ€π§ ππ€πͺ:
πΉ ARKit applications
πΉ Computer Vision mobile apps
πΉ ARKit SDKs and mobile SDK development
πΉ LiDAR scanning solutions
πΉ RoomPlan integrations
Alex C. earns an estimated $9.9k/mo. That's 8.4Γ the typical freelancer and more than 99.88% of everyone we track.
πΉ Floor plan generation systems
πΉ 3D reconstruction pipelines
πΉ Spatial Computing applications
πΉ Object detection and object tracking
πΉ Pose estimation systems
πΉ Fitness and motion analysis products
πΉ Digital twin platforms
πΉ Real-time camera processing pipelines
πΉ AI-powered mobile applications
πΉ Native iOS and Android products
βοΈ πΎπ€π§π ππ ππ‘π‘π¨ & πππππ£π€π‘π€ππππ¨:
ο£ΏΒ Apple Ecosystem:
Swift, ARKit, RealityKit, Vision Framework, Core ML, AVFoundation, Metal, Core Bluetooth, SwiftUI, UIKit, RoomPlan, LiDAR
π² Android Ecosystem:
Kotlin, ARCore, CameraX, MediaPipe, Jetpack
ποΈβπ¨οΈ Computer Vision & AI:
Computer Vision, OpenCV, Core ML, ONNX, TensorFlow Lite, Object Detection, Pose Estimation, Image Processing, Face Tracking, Body Tracking, Machine Learning
π§ Spatial Computing:
ARKit, Spatial Computing, RoomPlan, LiDAR Scanning, Digital Twins, 3D Reconstruction, Photogrammetry, Scene Understanding, Spatial Mapping.
π ππ£ π ππͺπ©π¨πππ‘π‘ - π πͺπ¨π© 2025 -2026Β πππππ‘ππππ©π¨:
β’ ARKit-based indoor scanning and floor-plan generation
β’ LiDAR and RoomPlan powered spatial capture systems
β’ Computer Vision SDKs for retail and object recognition
β’ ARKit product placement and visualization applications
β’ Pose estimation and movement analysis for fitness platforms
β’ Face tracking and biometric measurement solutions
β’ Real-time AI inference pipelines running directly on mobile devices
β’ Custom SDK development for iOS, Android, and React Native integration
I enjoy solving problems that other teams consider too complex, too experimental, or too performance-sensitive for traditional mobile development.
Send me the challenge. I'll tell you if it's feasible, what can go wrong, and how I'd approach building it.
Last updated: Sept 2026