Embedded Systems & Computer Vision — End to End.
I design, build, and deploy edge hardware/software systems that work in the real world. From schematic capture to production-grade AI deployment.
Core Competencies
IoT Product Engineering
End-to-end hardware development including bring-up, embedded firmware integration, custom sensor design, and rigorous reliability testing for field deployment.
- Hardware Bring-up
- Sensor Design
- Thermal Validation
Machine Vision Pipelines
Specialized video analytics systems featuring real-time pose estimation, object detection, and multi-camera synchronization for complex environments.
- Real-time Analytics
- Pose Estimation
- Object Tracking
Edge AI & ML
Optimizing models for on-device inference on Linux-based edge systems. Full ML workflow management from dataset prep to evaluation.
- On-device Inference
- Dataset Preparation
- Linux Edge Nodes
Professional Chronology
A record of systems engineered and products launched.
SportTech Activity Recognition
Engineering a real-time gym activity recognition platform using high-speed camera arrays, pose estimation AI, and custom force-sensing integration. Managed the transition from prototype to production edge deployments.
IoT Product Hardware Architecture
Led the hardware division for a consumer IoT device. Responsible for board bring-up, deep failure analysis (FA), and developing Python-based automated testing frameworks for manufacturing lines.
Biomedical Optical Systems
Spearheaded full-system development from concept to patent. Focused on hardware integration, thermal validation for high-power optical arrays, and embedded firmware architecture.
Technical Arsenal
Let's build something real.
Available for short or long engagements — product development, system bring-up, vision pipelines, or hands-on prototyping.