• Built offline-first iOS and Android apps for 1200 canvassers nationwide to run Site and Door to Door campaigns following scripted intake forms.
• Shipped a C++ OpenCV native module (iOS + Android) that registers camera photos to the form, redacts PII fields, validates required signatures via ink detection based on pre-trained differentiation threshold - all before upload, entirely clientside, offline.
• Built components for background audio recording, live voter lookup registration, QR / barcode / document scanning, signatures and more.
• Battery / Memory Optimization: tuned background location tracking around device speed / distance, improved Redux state management to reduce render cycles, merged dependencies to reduce APK size by 67%

AI Annotation Interface & APIs

• Created custom Node-Red modules for configuring cameras and communication with on-prem tools and cloud APIs.
• Implemented API for motion detection using Structural Similarity, to expose 19 OpenCV filter options to training interface, to manage photo training data and find tagging anomalies.
• Built entire front-end annotation tool with zooming, version controls, infinite class nesting.

Workstation Guidance

• Developed workstation guidance system for factories to configure assembly instructions with QA and computer vision assistance, dockerized to deploy across a local network of factory computers.
• Built bi-directional persistent secure WebSocket connection for constant communication with Node-Red service and FlexibleVision as a whole.