Kazi Miftahul Hoque

Kazi Miftahul Hoque

Role iOS & 3D Vision Engineer Β· Structure (XRPro, LLC)
Focus 3D Vision & Depth Reconstruction Β· iOS Engineering Β· ARKit Β· LiDAR Β· TrueDepth
Education B.Sc. CSE Β· CUET, Bangladesh
Location Calgary, Canada

iOS engineer with 5 years shipping production systems to thousands of clinics. Specialized in 3D vision and depth reconstruction β€” ARKit, LiDAR, TrueDepth, stereo vision, real-time mesh generation. I work where research meets product, turning emerging techniques into reliable, performant apps that actually ship.

Work that ships and publishes.

3 patents Β· 2 peer-reviewed publications Β· 3D vision & clinical healthcare

Patent Apr 2024

Depth and Color Fusion for Precise Facial Landmark Detection Using 3D Sensor Data

K. Hoque, D. Gladyshev, A. Tokar, J. Mulligan, P. Silveira

Fusing depth sensor data with color imagery to detect precise facial landmarks on textured 3D models. Enables accurate measurements β€” Otobasion Points and Nose Bridge Width β€” for head-mounted device fitting: glasses, headphones, VR headsets.

Computer Vision Depth Fusion Facial Landmarks
Patent Aug 2023

System and Methods for Determining a Quality Metric of Three-Dimensional Image Data

K. Hoque, D. Gladyshev, A. Tokar, R. Shah, J. Mulligan, P. Silveira

A real-time interactive indicator guiding users toward higher-quality foot scans — transitioning red→green as heel and plantar region coverage meets quality thresholds. Integrated directly into Structure SDK.

3D Scanning Quality Grading SDK
Patent Apr 2023

Arch Height Difference Measurement

K. Hoque, D. Gladyshev, R. Shah

PCT Publication WO2024/215489

Measures arch height difference from load-bearing and non-load-bearing foot scans β€” a key indicator of pronation and foot mobility. Valuable in sports medicine, physical therapy, orthotics, and biomechanical assessment.

Biomechanics Foot Scanning Orthotics
Publication 2025

Foot Landmark Detection with Structure

J. Mulligan, K. Hoque

Proceedings of 3DBODY.TECH, 2025

Automated foot landmark detection using the Structure sensor, enabling precise clinical measurements β€” width, length, ball girth β€” for orthotics and prosthetics workflows. Validated on a dataset of 1 million foot scans.

Landmark Detection Clinical 3DBODY.TECH
OptiFit paper thumbnail
Publication 2022

OptiFit: Computer-Vision-Based Smartphone Application to Measure the Foot from Images and 3D Scans

Rafiq, R.B.; Hoque, K.M.; Kabir, M.A.; Ahmed, S.; Laird, C.

Sensors, 2022

A computer-vision application measuring foot dimensions from smartphone images and 3D scans β€” width, height, girth, pronation β€” designed for patients sending foot data to pedorthists for remote treatment and fitting.

Computer Vision Sensors Journal Foot Measurement

Built at Structure.

Where I've worked.

Sep 2022 – Present

Colorado, USA

3D Software Engineer

Structure (XRPro, LLC)

  • Architected Structure Capture β€” a unified iOS scanning platform for face, foot, full-body, and room capture, sustaining 60fps during real-time mesh generation in SwiftUI + AVFoundation
  • Led end-to-end development of 3DFootScan, deployed across thousands of clinics globally and demoed at AOPA 2022
  • Reduced crash rate by over 95% (10–12/week β†’ 0–1/month) through systematic Sentry breadcrumb analysis and root-cause fixes
  • Built iOS upload and result-fetching pipeline in URLSession with bounded retry logic and user-facing rescan prompts
  • Authored GitLab CI/CD pipelines and Fastlane workflows covering internal builds, Firebase QA, TestFlight, and App Store releases
  • Named inventor on three patent applications (one PCT-published) and co-author on two peer-reviewed publications

Aug 2021 – Aug 2022

Sydney, Australia

Researcher & iOS Developer

Ease Your Motion

  • Built an iOS app for clinical 3D foot scanning with automated extraction of width, height, girth, pronation, and supination measurements
  • Designed Core Bluetooth integration between the iOS app and custom foot-holder hardware for synchronized capture and precise scan alignment
  • Built clinician-facing 3D visualizations deployed across four in-house clinics

Tools & technologies.

Languages
Swift Objective-C Python C++
iOS
SwiftUI UIKit AVFoundation ARKit RealityKit Metal Core ML Vision
3D & Vision
TrueDepth LiDAR Structure SDK OpenCV 3D Mesh Processing Facial Landmark Detection
Backend & Tooling
REST APIs Firebase GitLab CI/CD Fastlane Sentry

Where research meets
production.

Open to iOS engineering roles, 3D vision research collaborations, and conversations about building clinical-grade tools that actually ship.