About David
Skills
Machine Learning for Vision Applications
AWS Hosted Applications
2D and 3D Image Processing
System Design & Software Architecture
Software Development Methodologies
Design for Test, CI/CD Methodologies
Languages
- Primary: C/C++/C#, Python, cuda, tensorflow
- Some experience: Ruby/Rails with websevice deployment, html/javascript, Java in Android
OS/Frameworks
- Android platform
- Embedded Linux, NVIDIA Jetson
- Qt (Linux & Windows)
- Microsoft .Net
- Various embedded & DSP OSes
- AWS computing/webservice design with image processing backends
Unit Testing
gtest, JUnit, Jenkins, Visual Studio Tests, gitlab CI/CD
Applications
- Microscopy analysis automation
- Image Processing Algorithm Development (3D & 2D)
- Telecommunications
- Video Conferencing Product Design & Software Architecture
- Speakerphone Design (Acoustics & Data Integration)
- Camera Design
Credentials
Master of Science in Comms (EE – Modulation/Information Theory), George Washington University
Bachelor of Science, Electrical Engineering, University of New Orleans
27 Patents granted
Papers
My contributions to the papers listed below were ML software and systems that allowed the researchers to conduct experiments and determine results via automated analysis of microscopy recordings of living cell interactions.
Re-Use of Established Drugs for Anti-Metastatic Indications
Anti-Metastatics: An Overview of Drug Candidates in Current Pipelines