2M Engineering — Medical Rehabilitation Platform

2M Engineering is a Dutch company developing sensor technology for healthcare. The focus of the assignment was to develop digital products for motion analysis and rehabilitation, as well as an SDK enabling commercial further development by external parties.

The client needed technical solutions for home rehabilitation, including visualization of motion data and sensor feedback in real-time, to complement today's standard for rehabilitation in clinics. The goal was to create a cohesive digital experience that is easy to use at home and can be extended by partners via a developer SDK.

Key outcomes: - Several MVPs were developed, including a suit for stroke recovery and a glove with feedback sensors, with accompanying 3D applications for visualization and analysis - A modular SDK enabling commercial further development and faster integration in partners' solutions - A scalable architecture for collection, processing, and presentation of sensor data in real-time, adapted for home use - Market analysis to increase ROI on developed products and IP from EU projects

As Tech Lead Robin was responsible for the overall technical direction and daily delivery. He set technical direction, prioritized the backlog together with product stakeholders, and coordinated work between sensor/embedded, backend, data, and 3D client to ensure short delivery cycles from prototype to MVP.

As Solution Architect Robin designed the system's end-to-end architecture: data acquisition from sensors, streaming/processing in real-time, storage and APIs, 3D client, and SDK design for external developers.

As Full Stack Developer Robin implemented the full stack: data collection and preprocessing of sensor data to Windows over BT, service layer and APIs for real-time and historical queries, and client logic for 3D visualization and feedback loops.

As Data Engineer Robin designed, analyzed, and implemented PoCs to identify sliding patterns and direction with pyroelectric material and wavelet transforms, and contributed to PCB design to optimize signal capture and noise levels. He built ETL pipelines for sensor data (extraction, cleaning, fusion/feature steps) that were then visualized intuitively in the 3D platform.