Corrado Zurini
Verified Expert in Engineering
Machine Learning Developer
Austin, TX, United States
Toptal member since September 5, 2025
Corrado is an expert machine learning engineer with 10+ years of experience building AI solutions and deploying them into production at scale. He has worked with different types of inputs, such as image, video, audio, and text, and various algorithms and models. Corrado also deploys models on embedded platforms, including IoT devices, mobile phones, and cars.
Portfolio
Experience
- Windows - 20 years
- Computer Vision - 10 years
- Machine Learning - 10 years
- Linux - 9 years
- Python - 9 years
- Convolutional Neural Networks (CNNs) - 9 years
- Visual Studio Code (VS Code) - 7 years
- PyTorch - 7 years
Preferred Environment
Windows, Linux, Visual Studio Code (VS Code), PyCharm, MLflow, PyTorch, Git
The most amazing...
...technology I've contributed to was a driver monitoring system that ensures safety for modern cars that are on the road.
Work Experience
Staff Machine Learning Engineer & Team Lead
Xperi
- Improved a song recommendation system by developing from scratch classification neural networks, such as music genre classification and music instrument classification.
- Used semi-supervised learning as a technique to train neural networks.
- Created infrastructure for training and testing the neural networks.
Senior Machine Learning Engineer
Xperi
- Contributed to the end-to-end development of a camera-based driver monitoring system with features such as head position detection, eye opening, landmarks detection, gaze detection, and activity detection.
- Managed the full product development lifecycle—acquiring data, preparing datasets, creating training and testing frameworks, training and testing the neural networks, optimizing the model, and gathering customer feedback—and deployment to production.
- Guided machine learning interns throughout their summer internships and beyond.
Machine Learning Engineer
Xperi
- Performed entity and string matching on radio stations' metadata using BERT-like (LLP) architectures.
- Automated the testing procedures partially by detecting audio anomalies using autoencoder and variational autoencoder models.
- Updated the team on the industry's latest technologies and tools.
R&D Engineer
Xperi
- Worked on computer vision projects as part of the R&D team: eye/iris detection and hand tremor recognition for biometrics, liveness detection, object segmentation for smartphone bokeh effect, and face/person detection for IoT devices.
- Used traditional image processing with HoG and Hough transform and supervised learning with support vector machines, convolutional neural networks, and U-Net to develop state-of-the-art algorithms.
- Employed an Agile framework to ensure faster time-to-market, improved product quality, higher customer satisfaction, enhanced collaboration, and reduced risk.
R&D Engineer Intern
Xperi
- Worked on my bachelor’s degree project for creating a 3D map of an area surveyed by a drone.
- Developed an algorithm that created a 3D map of the surface in two steps: image stitching using feature detectors such as SIFT and RANSAC, and depth map computation using parallax.
- Researched the current state-of-the-art solution at that moment.
Experience
Driver Monitoring System
• Contributed to the end-to-end development of a camera-based driver monitoring system with the following features: head position detection, eye opening, landmarks detection, gaze detection, and activity detection. This resulted in design wins for the company and the system being deployed on cars on the road today.
• Involved in the full lifecycle, including acquiring data, preparing and cleaning datasets, developing training and testing frameworks, training and statistically testing the neural networks, optimizing the model for embedded platforms, gathering customer feedback, developing the product, and deploying it into production.
• Implemented customer feedback.
Education
Master's Degree in Advanced Digital Imaging
Politehnica University of Bucharest - Bucharest, Romania
Bachelor's Degree in Applied Electronics
Politehnica University of Bucharest - Bucharest, Romania
Certifications
Applied Business Science – Product Management
Texas Executive Education at UT Austin
Atlassian Certified in Jira Software Essentials
Atlassian
Skills
Libraries/APIs
Scikit-learn, NumPy, TensorFlow, OpenCV, PyTorch, PyTorch Lightning
Tools
Jira, Git, Confluence, Figma, You Only Look Once (YOLO), PyCharm, TensorBoard
Platforms
Windows, Linux, Docker, AWS IoT, Visual Studio Code (VS Code), Jupyter Notebook, Google Cloud Platform (GCP), Databricks
Languages
Python, C
Paradigms
Scrum, Kanban, Agile
Other
Machine Learning, Computer Vision, Image Processing, ONNX Runtime, Sentiment Analysis, Data Annotation, Image Annotation, Data Labeling, Image Classification, Convolutional Neural Networks (CNNs), Edge AI, Deep Learning, Team Mentoring, Teamwork, Quantization, Machine Learning Operations (MLOps), Natural Language Processing (NLP), Artificial Intelligence (AI), Edge Computing, Hugging Face, Image Segmentation, Scrumban, Engineering, MLflow, Product Management, AI Product Management, A/B Testing, Data Analysis, Data Analytics, Support Vector Machines (SVM), NVIDIA TensorRT
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