Forward-thinking system engineer currently working in integrating satellite-aided positioning technologies for an autonomous vehicle prototype at Italdesign (an Audi Company). Our team is also focused on AI, tuning and optimizing machine learning algorithms for road object detection, features extraction and drivable space characterization.Before I worked for Thales Alenia Space developing a satellite navigation simulator and analyzing the Galileo system performances on behalf of ESA and GSA. I have also expertise as consultant engineer in the automotive and aeronautics industries.
Apr, 2017 – present System Engineer – Italdesign Turin, Italy
Autonomous Driving System Engineer
- GNSS-aided inertial navigation: accurate positioning and vehicle attitude determination using IMU, DMI and GNSS receivers. cm-level accuracy achieved by means of Real Time Kinematic technique
- Environment perception: processing information coming from different sensors (LIDAR, cameras, radars, ultra-sounds) to characterize the surrounding environment
- Object detection: using machine learning algorithms for object recognition
- Deep learning systems: ongoing training on the job
Neural Networks (NN) for object detection, classification, segmentation using Berkeley dataset on NVIDIA DGX Station and Drive Px2 hardware platforms
Sept, 2014 – Mar, 2017 Navigation Performance Engineer – Thales Rome, Italy
– development of a C-coded software tool to evaluate and analyze positioning accuracy (horizontal/vertical position error) and service availability provided by navigation systems
– user position estimate and prediction, global performance investigation, Open Service rural vehicle PVT test campaigns for ESA, functional analysis, precise positioning survey for GSA
– performance data analysis in Matlab/Python, receivers testing, technical reports delivery
Engineering Consultant – Altran
Oct, 2012 – May, 2013 Airbus Hamburg, Germany
Advanced Technology Research Aircraft: multifunctional fuel cell system design
– built a multivariable statistical method to optimize the system performance
– Supplier Equipment Specification-Preliminary Design Review, documents releases
– system engineering and interfaces, user requirements definition
Mar, 2011 – Jan, 2012 BMW Munich, Germany
Engine Start-Stop System: Validation & Verification, testing, engine management
– on-board diagnostics, vehicle electrical architecture, electronic control units coding
– system and functional requirements, road tests, technical reporting
– operational applications, fleet management, troubleshooting, competitors benchmarking
Adaptive lighting system performance assessment
– software/hardware communication architecture and AutoBox/Simulink platform test (radar, ParkDistanceControl sensors), performance evaluation, supplier relationship
– on-board data logs collection and statistical analysis, user feedback assessment
Jan, 2014 – Dec, 2014 Postgraduate Engineering Degree – Sapienza University Rome, Italy
One-year Postgraduate Degree on Satellite Systems and Services
– propulsion, thermal and power systems, electronics, communication techniques
– navigation (GPS-Galileo), complex systems control, object process methodology analysis, data handling
– system engineering, teamwork presentation sessions in Silicon Valley (San Francisco Bay Area, USA)
– Final note: 110 / 110 summa cum laude
Dec, 2010 M.Sc. Nanotechnology Engineering – Sapienza University Rome, Italy
Design/implementation/test of a carbon-based strain sensor with RFID communication capabilities
– Topics: wireless sensors, high performance systems, electronic composites, smart tyres, electromechanical testing, Matlab simulations
– Sponsorship: thesis topic proposed/sponsored with a grant by the FIAT Research Centre (CRF, Turin)
– Final note: 110 / 110 summa cum laude
Dec, 2005 B.Sc. Telecommunications Engineering – Sapienza University Rome, Italy
Wireless Optical Communications: modeling and performance analysis
– Topics: transmission systems and protocols, wireless communications, LabVIEW simulations
– Final note: 105 / 110
Deep Learning : Features extraction, classification, Convolutional Neural Networks
Engineering : Navigation, guidance and control of real-time systems
Operating Systems : Windows, MacOS X, Linux
Programming : C/C++, Python
SW Tools : Matlab/Simulink, LabVIEW, SimGEN (Spirent), POSPac (Applanix-Trimble)
Middleware : ROS
Versioning : Git
Nanodegree on Computer Vision – Udacity in partnership with NVIDIA Aug 2018 – ongoing
– Image processing and deep learning using Convolutional Neural Networks (CNNs)
– Cloud Computing with Google Cloud and AWS
– Image captioning using Recurrent Neural Networks (RNNs)
– Landmark detection and tracking
Nanodegree on Flying Cars (Aerial Robotics) – Udacity May – Aug, 2018
– 3D motion planning for quadrotors in Python
– implementation of quadrotor control algorithms in C++
– probabilistic modelling, sensor fusion and Extended Kalman Filter design in C++
International Summer School on GNSS – ESA (Davos, Switzerland) July, 15 – 25, 2013
– GNSS signals, receivers and applications, laboratory activities
– Best projects award contest: achieved the second place by presenting a smart farming GNSS application
Italian, mother tongue. Fluency in English, German.
Analytical thinking, ability to work in rapidly evolving and demanding environments. Highly motivated, proactive and results-oriented, passionate about machine learning and aerospace systems.
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