Simone Zamboni
AI Engineer at Freda
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolSimone Zamboni is an AI Engineer based in Stockholm with eight years of experience building and deploying machine learning systems, currently shaping character-facing language models in the games industry. Previously a Machine Learning Research Engineer at Embark Studios and a developer at Substorm, he combines hands-on NLP model fine-tuning with production deployment using cloud and container tooling. His academic background is a double master’s in Autonomous Systems from KTH and Università di Trento, and his master’s thesis on pedestrian trajectory prediction reached state-of-the-art results and was published in Pattern Recognition. Comfortable spanning research and engineering, Simone also mentors students and has practical backend and IoT prototyping experience, reflecting a blend of rigorous research, applied ML, and product-focused delivery.
8 years of coding experience
6 years of employment as a software developer
Master Degree in Autonomous System Mechatronics Engineering, Master Degree in Autonomous System Mechatronics Engineering at Università di TrentoDouble Master Degree in Autonomous Systems Mechatronics Engineering, Double Master Degree in Autonomous Systems Mechatronics Engineering at KTH Royal Institute of TechnologyIT technician Technical IT institute, IT technician Technical IT institute at Carlo Anti
Italian, English, Swedish
Github Skills (8)
methodology7
python5
machine-learning5
deep-learning4
robotics4
pytorch4
yarp4
gazebosim4
Programming languages (3)
Github contributions (5)
SZamboni/domus
Feb 2019 - Nov 2021
Domotic project using Django as server and Arduino for the devices. The idea was to create a system where different Arduino-based devices spread around the house could send data and receive commands from a central server. All of this without the server knowing anything about the functionalities of these devices.
Contributions:2 PRs, 21 pushes, 2 branches in 2 years 9 months
housepythondjangoarduinocentral-server
SZamboni/NightPedestrianDetection
Oct 2019 - Jul 2020
Project on pedestrian detection at night with deep learning for the Research Methodology and Scientific Writing course, Autumn 2019, by Simone Zamboni and Olivier Nicolini.
Contributions:58 commits, 56 pushes, 1 branch in 8 months
pytorchpedestrian-detectionpythonsimonenight
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