Software & AI engineer · Automotive, ADAS and embedded vision
Founder of Alab Systems · Pavia, Italy · open to opportunities
I build and validate software for vehicles. My work sits where code meets hardware: V cycle development, test case creation, model based testing, and automated verification for production lines and ADAS algorithms.
I'm preparing for the ISTQB Certified Tester certification and work across CI/CD, AUTOSAR architecture, software quality assurance, CANoe/CANalyzer and AI computer vision, on a base of Python and C/C++.
- Working on perception pipelines, driver monitoring and test automation for embedded systems
- M.Sc. Computer Engineering (Data Science), University of Pavia
- Italy / Morocco · English, French and Arabic
- Best way to reach me: email or the contact form
Automotive and quality
Languages
Vision and machine learning
Backend, DevOps and data
| When | Role | Where |
|---|---|---|
| Feb 2026 to Apr 2026 | Software Engineer (contract, remote). Backend services, Cloud Functions, automated reporting on Firebase, test suite and data verification ahead of launch. | Maverick Ventures B.V., Amsterdam |
| 2025 to 2026 | Embedded Systems Research Intern. Live eye tracking driver monitoring in C++ and Python (DLIB, OpenCV), model based validation, embedded optimisation for automotive ECUs. | CVML lab, University of Pavia |
| Nov 2023 to Jun 2024 | Software Engineer, Automation & Embedded Systems. Production line camera detection for automotive quality control (Renault supply chain), YOLO deployment, Python test automation framework. | Grupo Premo, Tangier |
- M.Sc. Computer Engineering, Data Science specialization. University of Pavia, 2021 to 2026
- B.Sc. Computer Engineering. Kharkiv National University of Radio Electronics, 2016 to 2020
- ISTQB Certified Tester, Foundation Level (in progress)
- AUTOSAR Architecture (Udemy) · ADAS: Advanced Driver Assistance Systems (Udemy) · Simulink MATLAB for Model Based Design (MathWorks) · Computer Vision Projects and Python for Data Analysis (Great Learning)
| Project | What it is | Stack |
|---|---|---|
| nuscenes_3d_detection | 3D object detection with PointPillars on nuScenes (6 cameras + LiDAR) | PyTorch, LiDAR, CUDA |
| YOLO Quality Control | CI/CD pipeline for production line camera detection | YOLO, Jenkins, Docker |
| V-Hbuild (Forge) | Describe a device in plain words, a local model designs the enclosure and firmware | FastAPI, Ollama, 3D printing |
| V-trade | Crypto trading bot with strict walk forward backtests and risk limits | scikit-learn, ccxt |
| Model-V | AI agent platform on a locally served, fine tuned Phi-3 Mini | FastAPI, Ollama, Next.js |
| bdd100k_object_detection · cityscapes_segmentation · tusimple_lane_detection | Driving datasets: detection, segmentation, lane detection | PyTorch, YOLOv8 |
| JobMatch | Chrome extension that scores job listings against your CV | Manifest V3, JavaScript |
All fourteen are on the portfolio.
I take fixed price packages through Alab Systems: ADAS validation and test suites, CAN bus testing, driver monitoring, computer vision prototypes, edge AI, LLM integration and MLOps. Prices are listed up front, from a one week feasibility review to a full perception system.
Tell me what you're building.