Andrea Palazzi
Head Of Artificial Intelligence at Nomitri
Berlin, Germany
Summary
🤩
Rockstar🎓
Top School
Top expert inAutonomous Robotics and Simulation Technology
Andrea Palazzi is Head of Artificial Intelligence at Nomitri in Berlin with 13 years of experience bridging cutting-edge computer vision research and production-grade ML systems. With a PhD in Computer Vision and a track record from academia to industry, he designs end-to-end model lifecycles—data collection, model design, training, quantization, and on-device deployment—while building CI-driven deep learning infrastructure. His work spans driver gaze prediction, synthetic data, differentiable rendering and pose estimation, and includes hands-on contributions to practical projects like a lane-detection module for an open-source self-driving car repo. Known for translating research into robust products, he also leads data engineering and quality pipelines for annotated data at scale. Colleagues rely on him for pragmatic solutions that combine theoretical depth with deployment-aware tradeoffs.
13 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Università degli Studi di Modena e Reggio Emilia
Italian, English, German, French
Stackoverflow
1,604reputation
286kreached
36answers
0questions
google-drive-api
top-5%
python
top-5%
Github Skills (13)
computer-vision10
opencv10
python10
hough-transform10
image-processing10
google-drive-api9
urllib9
deep-learning8
tensorflow8
machine-learning6
pydrive6
numpy6
image6
Programming languages (6)
Github contributions (5)
ndrplz/self-driving-car
Dec 2016 - Oct 2020
Udacity Self-Driving Car Engineer Nanodegree projects.
Role in this project:
Software Engineer (Computer Vision Focus)
Software Engineer (Computer Vision Focus)Contributions:237 commits, 5 PRs, 218 pushes in 3 years 10 months
Contributions summary:Andrea contributed to a self-driving car project, specifically focusing on lane detection. Their primary contribution involved creating and implementing the `lane_detection.py` module, which includes core functions for image processing, Hough line detection, and lane line fitting. The user's work showcases expertise in computer vision techniques such as edge detection, Gaussian blurring, and image masking. The module also incorporated a temporal smoothing mechanism to improve the robustness of lane detection across multiple frames.
pytorchnanodegreeself-driving-car-engineerudacity-self-driving-carudacity
ndrplz/small_norb
Dec 2017 - Feb 2022
Python wrapper to small NORB dataset
Contributions:23 commits, 7 PRs, 11 pushes in 4 years 2 months
pythonnorbnorb-datasetpython-wrapperdataset
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