Pedro Perrusi
Computer Vision Engineer at B. Braun New Ventures
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolPedro Perrusi is a Computer Vision Engineer with a decade of experience building AI-driven, research-informed vision systems for medical and automotive domains, currently advancing computer vision at B. Braun New Ventures in Germany. He blends hands-on research (robotic needle steering, respiratory motion compensation) with product-grade engineering, having led software architecture and ISO-62304 compliance efforts for eye-tracking medical devices at Suricog. Comfortable across C++, Python, ROS, and CUDA, he has shipped ADAS radar and surgical-robotics integrations and advised on hybrid Python/C++ packaging for regulated software. An active contributor to open datasets, he implemented PCA visualization in the large OpenGenus/cosmos corpus to demonstrate dimensionality reduction insights. His background uniquely mixes mechatronics, medical-imaging research, and practical device-compliant software delivery.
10 years of coding experience
7 years of employment as a software developer
8 Semesters of Bachelor of Engineering - BE Mechatronics (Control and Automation Engineering), 8 Semesters of Bachelor of Engineering - BE Mechatronics (Control and Automation Engineering) at Universidade de BrasíliaAI for Healthcare Nanodegree Program, AI for Healthcare Nanodegree Program at UdacityIngénieur Technologies de l'Information pour la Santé (TI Santé), Ingénieur Technologies de l'Information pour la Santé (TI Santé) at Télécom Physique Strasbourg
Portuguese, English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
algorithm10
data-structures10
machine-learning10
pca10
visualization10
visualizations10
python10
data-structure10
numpy10
matplotlib10
artificial-intelligence9
Programming languages (3)
Github contributions (5)
OpenGenus/cosmos
Oct 2017 - Oct 2017
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Data Scientist
Data ScientistContributions:19 commits, 3 PRs, 4 comments in 16 days
Contributions summary:Pedro contributed significantly to implementing Principal Component Analysis (PCA) within the repository. They implemented data generation, mean vector, scatter matrix, and covariance matrix calculations. Furthermore, the user wrote the functionality to compute and visualize the eigen values and principal components. Finally, they constructed a visualization of the PCA analysis to showcase dimensionality reduction with the selection of 2 principal components.
datastructuresinternshipcontributordatasetopengenus
pedroperrusi/tps_IHM
Nov 2018 - Jan 2019
Contributions:59 commits, 21 pushes, 1 branch in 1 month
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