Senior iOS / On-Device ML Engineer — Osaka, Japan.
I take ML/CV/LLM research and ship it on phones, tablets, and AR devices — fast. I maintain CoreML-Models ★ 1.8k+, the de-facto iOS CoreML model zoo. 170+ OSS repos covering YOLO / SAM / LaMa / on-device LLM / ARKit. 10 apps on the App Store under my own developer account. 120+ converted models on Hugging Face, and I'm a member of litert-community (Google LiteRT). 7+ years iOS / on-device ML.
2019 — present · Freelance — Pebble Inc., Osaka
On-device AI for iOS and Android — model conversion, latency and memory optimisation, real-time vision, on-device VLM / LLM
Shipped 10+ apps under my own developer account; maintain CoreML-Models and 170+ OSS repos. Currently taking projects.
2024 — 2025 · Ultralytics
YOLOv5 / YOLOv8 mobile deployment team
CoreML / TFLite / ONNX conversion, ANE optimization, mobile reference apps.
2022 — 2024 · Agencia Inc., Tokyo
ML Engineer
Production ML pipelines and on-device inference for camera-based products.
Real-world 3D measurement using iPhone Pro / iPad Pro LiDAR. Tap two points → get a distance you can trust.
On-device gallery of dozens of CoreML models you can run live on your phone — segmentation, detection, pose, style transfer.
On-device image upscaler. Runs ESRGAN-style super-resolution networks fully on the Neural Engine — no server.
On-device face inpainting / restoration. Repairs missing or masked regions using a CoreML-converted GAN.
One-image animation. Drive a still portrait with motion from another video — on-device.
Text-to-image + inpaint on-device. Stable Diffusion variants ported and optimised to run on iPhone.
Depth-aware bokeh from a single image. Foreground / background separation through on-device monocular depth.
OCR-powered quick-capture memo. Photograph anything → searchable text on-device, private.
Visual task manager with iCloud sync.
Long-exposure + light-painting style photography on iOS.
De-facto iOS Core ML model zoo. Ports of YOLO, SAM, LaMa, Tesseract OCR, on-device LLM bindings, Stable Diffusion variants, segmentation, depth, pose, style transfer.
github.com/john-rocky/CoreML-Models →Converted on-device models for Apple Core AI / Core ML and LiteRT: Gemma, Qwen, LFM2, Ministral and more. Member of litert-community (Google LiteRT).
huggingface.co/mlboydaisuke →On-device LLM leaderboard for iPhone — reproducible latency and memory numbers across models and runtimes.
devicemark.github.io →YOLOv5/v8 · SAM · LaMa · Tesseract · MobileNet · DepthAnything · Style-transfer · Pose · OCR · on-device LLM (Llama.cpp / MLX) · Stable-Diffusion · Real-ESRGAN · NeRF · Gaussian-Splat.
github.com/john-rocky?tab=repositories →Fixed-scope, 2-week engagement: ship your model on iPhone, in production.
For AI teams who have a working PyTorch / Hugging Face model but no iOS specialist to land it on Apple Neural Engine at the latency / thermal / memory budget the product needs.
You bring: your trained model (LLM, VLM, CV, ASR, or diffusion) and a target use case.
I deliver:
Timeline: 2 weeks fixed.
Price: US$15,000 – US$25,000 per engagement (scope-dependent).
Async-first. JST + a few hours of US-Pacific evening / EU morning overlap.
Discovery / feasibility study (single week, US$5,000) available if you'd like a written go / no-go before committing to the full sprint.
Smaller, well-scoped pieces are welcome too — a single model conversion, a latency investigation, a benchmark on your target device. Tell me what you need and I'll quote it.
✉ Inquire — rockyshikoku@gmail.com · plain text is fine, tell me what model and what target device.
I reply within a day. Open to a quick intro chat anytime.
✉ Email rockyshikoku@gmail.com