Architecting High-Precision Navigation & Robotics Infrastructure
Bridging the gap between cutting-edge sensor fusion research and mass-production reality. Over a decade of experience delivering cm-level positioning systems, building R&D labs from scratch, and scaling prototypes to millions of units under ISO-accredited processes.
After completing a PhD in geometry processing at the University of Konstanz in 2008, I joined Yotta DCL (Oxford Metrics Group) as an algorithms engineer, working in GIS on projects including map generation from GPS traces, automated survey route planning across multiple map formats, and road condition assessment from scan data.
In 2010 I moved to Oxford Technical Solutions (OxTS), where I spent eleven years developing GNSS, sensor fusion, and indoor navigation algorithms. Over time I took on a lead role and founded the core Navigation team — the period during which I grew most, both technically and as a leader.
In 2021 I joined Amazon Ring in my hometown of Iași, Romania, working on the drone programme — from sensor fusion and sensor selection through to designing calibration and validation fixtures for mass-production final testing.
Deep expertise in EKF-based Sensor Fusion (IMU, GNSS, LiDAR, ToF, UWB). Specializing in cm-level positioning in GPS-denied or high-vibration environments.
Founder of the Amazon Ring Lab (Iasi). Building physical and digital environments for sensor characterization, rapid prototyping, and autonomous flight validation.
Scaling from prototype to millions. Designing automated calibration (FATP) protocols, troubleshooting hardware bottlenecks, and managing ISO17025-accredited systems.
Challenge
Achieving 1cm accuracy in urban canyons where GPS signals are degraded or unavailable.
Solution
Architected proprietary RTK Integer Ambiguity Resolution, single-satellite aiding, and tight-coupling GNSS/INS algorithms.
Challenge
High-accuracy reference system for ADAS without GNSS in enclosed environments.
Solution
Integrated INS with UWB systems to create a world-first indoor test facility.
Challenge
Supervising sensor calibration and diagnosing hardware failures at contract manufacturers without on-site presence, across drone prototype and mass-production builds.
Solution
Designed automated FATP calibration and validation protocols, custom production fixtures, and performance dashboards enabling remote troubleshooting of sensor issues across distributed production lines.
| Domain | Tools & Technologies |
|---|---|
| Languages | C/C++ (Safety-Critical), Python, Matlab/Octave |
| Robotics | PX4, EKF, GNSS/INS, SLAM, 3D Kinematics |
| Sensors | LiDAR, ToF, UWB, Ultrasonics, IMU |
| Platforms | Embedded RTOS, Linux, AWS, OS-less ARM |