Computer Engineering Intern @ Mostavio. Developing AR architecture for drone systems & optimized edge intelligence.
SYSTEM PROFILE
Engineering
Core
Computer Engineering graduate from Toronto Metropolitan University, incoming graduate student at the University of Waterloo in September. Specializing in embedded systems, real-time computing, and AI at the edge. Co-founder of ECEC club. Building production systems that run unsupervised.
AUTHENTICATION: CONFIRMED | STATUS: OPERATIONAL
// CORE_CAPABILITIES
Engineering
Stack
Embedded Systems
SYSTEM_AUTHENTICATED
AI & Research
SYSTEM_AUTHENTICATED
Software Suite
SYSTEM_AUTHENTICATED
Systems Architecture
SYSTEM_AUTHENTICATED
// PROJECT_LAB_ACCESS
Selected
Works
MOSTAVIO
AR DRONE INTERFACE
Architecting an AR display system for a one-man drone. Bridging real-time telemetry with OLED hardware integration.
RESEARCH
YOLOv8 PEST DETECTION
Deep learning framework optimized for edge devices. Detecting agricultural threats in real-time with 90%+ precision.
COMPUTER VISION
AIR CANVAS
Real-time hand gesture recognition for mid-air drawing. Built with OpenCV and MediaPipe for zero-latency tracking.
FULL STACK
RIVET NEWS APP
News aggregation platform with ML-powered personalization. Built with React Native, served with a custom recommendation engine.
// MORE_IN_THE_LAB
Additional projects, experiments & open source work.