01
Spine Surgery Robot
A real-time control framework connecting EtherCAT motion, ROS 2 nodes, safety I/O, and a Qt operator interface.
- C++
- ROS 2
- EtherCAT
- RT Linux
Embedded software engineer Malmö, Sweden
Veysi ADIN
I build dependable software where hardware, timing, and product behavior meet, from vehicle platforms and STM32 firmware to medical robotics and TinyML.
- Industry
- EV software platforms
- Research
- TinyML on MCUs
- Local time
- --:--
C / C++
Automotive integration
Embedded Linux
STM32
EtherCAT
ROS 2
TinyML
01 / Selected work
Systems built to matter.
A focused selection spanning surgical robotics, embedded medical devices, and applied machine learning.
01
02
Microdebrider Controller
Control software for a compact surgical platform with motor, pump, touchscreen, and safety logic.
- C++
- Qt
- Motor control
03
Diagnosis Assistant
A collaborative prototype that applies image classification to support retinal disease assessment.
- Python
- PyTorch
- ONNX
Engineer / Builder / Teammate
02 / About
Close to the hardware.
Close to the hardware.
Clear about the human.
I am an embedded software engineer based in Malmö, working at Sigma Connectivity Engineering AB and consulting for Volvo Cars on core integration for a new software platform for fully electric vehicles.
Before automotive, I developed firmware and medical-device control software and worked in robotics research. My MSc in AI and Robotics, together with research I conducted during doctoral studies at Mid Sweden University, shapes how I approach TinyML, sensor processing, and real-time control.
Working principle “Know thyself and nothing in excess.”Read the full curriculum vitae
03 / Toolkit
From registers to robots.
Four engineering layers, treated as one connected system.
Product embedded software
Firmware, drivers, and application code designed around real hardware and delivery constraints.
- C / C++
- Python
- STM32
- CI / CD
Platform integration
Software integration and testing across embedded Linux, connected hardware, and vehicle platforms.
- Automotive
- Embedded Linux
- Integration
- Git
Real-time and robotics
Deterministic communication, motion, sensing, and safety paths for physical systems.
- RT Linux
- EtherCAT
- ROS 2
- CiA 402
Edge intelligence
Compact models and signal pipelines deployed to constrained microcontrollers for real-time inference.
- TinyML
- TensorFlow Lite
- Sensor signals
- Model deployment
04 / Journey
Built by following the whole signal path.
Embedded software consultant
Sigma Connectivity Engineering AB / Volvo Cars
Automating EV software delivery with Ansible and Zuul, migrating CMake builds to Bazel with Gazelle, and developing Python tooling for faster, more reliable CI/CD.
Firmware developer
Epitome
Built and tested STM32 drivers for fingerprint, ToF, and stepper-motor hardware; reviewed the main firmware and delivered on schedule using C/C++, Python, Jira, Git, and CI/CD.
Research assistant
ETH Zürich
Developed embedded machine-learning models to detect and locate gunshots using low-cost sensors.
Doctoral studies in embedded machine learning
Mid Sweden University
Conducted TinyML research for resource-constrained systems before leaving the doctoral program in September 2023.
Research assistant in medical robotics
KIST / University of Science and Technology
Developed C++/Qt control software and custom electronics for a spine surgery robot using ROS 2, IgH EtherCAT, and real-time Linux.
R&D engineer in medical devices
Medicaretec
Built a Raspberry Pi-based microdebrider prototype with C++/Qt control software, custom PCBs, and a purpose-built electronics enclosure.
Electrical and electronics engineering
Mersin University
Graduated as the Engineering Faculty valedictorian and kept building at the boundary of circuits and code.
05 / Research & open source
Measured, published, shared.
Selected publications span TinyML, embedded sensing, medical instruments, and robotic control, with supporting code and implementation guides.
IEEE AAIML
DOI
Real-Time Performance Prediction Using Tiny Machine Learning in Advanced Catalytic Systems
TinyML for real-time catalyst monitoring, compressed for ESP32-S3 and Arduino Nano 33 BLE targets.
IEEE Transactions on Instrumentation and Measurement
DOI
On-Device Feeding Behavior Analysis of Grazing Cattle
Low-power acoustic behavior analysis deployed to resource-constrained embedded devices for field monitoring.
Minimally Invasive Therapy & Allied Technologies
DOI
Camera Sheath With Transformable Head for Minimally Invasive Surgical Instruments
A transformable camera sheath that provides a localized view of the surgical instrument tip.
IEEE Transactions on Instrumentation and Measurement
DOI
Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classification on Embedded Devices
Embedded machine learning for non-destructive damage classification from acoustic-emission signals.
IEEE Sensors Applications Symposium
DOI
Tiny Machine Learning for Real-Time Postural Stability Analysis
Lightweight postural-stability models deployed to an ARM Cortex-M4 microcontroller.
Built with teams
Serious systems are a team sport.
The best engineering happens when software, hardware, research, and clinical perspectives stay in the same conversation.
Meet the work
06 / Recognition
Ideas that traveled further.
Milestones shared with mentors, collaborators, and teammates.
07 / Contact
Building a system that needs dependable software?
I am always interested in thoughtful work across embedded systems, automotive software, robotics, and medical devices.
Start a conversation Or explore the code on GitHub