Contact Info

Software Engineer

👁️  Computer Vision

🤖  Machine Learning

📚  Full-stack, Web and Mobile Apps

⊼⊻ Embedded Linux

🛠️  Digital Fabrication

Statement of purpose

My passion lies in the interfaces between different layers of technology and the people who create and use them; I love finding ways to build bridges in code between systems that don’t already have paved roadways in the form solid tested APIs.

Skills

Languages and Frameworks

Technical Proficiencies

Work History

Scandy

CTO + Chief Architect + Co-founder

https://scandy.co

August 2014 - May 2022

New Orleans, LA, USA

• Mobile Apps, Desktop Apps, Cloud services
  • Architected and engineered the full-stack of 3D scanning applications with GPU accelerated kernels using a shared C++ codebase that cross-compiled with CMake for macOS, Linux, iOS, and Android platforms.
  • Designed and developed user interface (UI) and user experience (UX) for many 3D scanning and computer vision mobile apps using custom algorithms and OpenCV running via React Native on iOS and Android and for the web WebSockets via Node.js and React.
  • Implemented Web Assembly workers that decoded meshes and image frames to display in WebGL via Three.js at 30 fps (includes memory management in JavaScript).
  • Deployed a variety of AWS EC2 cloud computing instances with autoscaling queues and work groups to run complete 3D reconstruction in the cloud
  • Lambda functions and Firebase (Google Cloud) functions in both Python and JavaScript to perform efficient on-demand optimization of mesh data, user tracking, and a variety of other microservices.
• AI (Artificial Intelligence) and ML (Machine Learning)
  • Managed team of 2 AI engineers to train custom models for improving accuracy, identification, and user assistance.
  • Created machine learning datasets:
    • Raspberry Pi with camera on CNC gantry
    • Fabricated mechanical mount system for rigidly mounting multiple cameras
    • Synthetically generated images using Blender, Python, and VTK
  • Deployed trained neural network models on iOS, macOS, and Linux.
• Engineering Manager
  • Managed team of 7 engineers (interviewed, hired, and fired when needed).
  • Wrote coding practices, created language specific formatting, and led code reviews / pull requests.
  • Led inter/extra team communication workflows and managed daily stand-ups.
  • Co-author on two granted patents.
  • Submitted and accepted pull requests to VTK.
• Technical Lead
  • Worked directly with Google on Project Tango (led to ARCore), Sony, Qualcomm, pmd, Inuitive, Occipital, Lenovo, ASUS, and dozens of smaller companies.
  • Strong skills in working with poorly or undocumented hardware, integrating build systems, and building APIs for other teams to work.
  • Hardware proficient with UART, oscilloscope, multimeter, and hot re-work station.

Patents

Patent US9959671B1

Filed 2018, Granted 2018

System and method for capturing, processing, and rendering data through a template-driven processing pipeline.

System and method for capturing, processing and rendering data through a template-driven processing pipeline

Patent US9983569B2

Filed 2016, Granted 2018

System and method for representing a field of capture as physical media

System and method for representing a field of capture as physical media

iOS Apps