Portrait of Dr Aniello R. Patrone
Dr Aniello R. Patrone
ENDE

Lead AI Scientist · Computer Vision & Deep Learning

Biography

2021–today
Lead AI Scientist (2023–today) at piur imaging GmbH in Vienna, Austria.
  • Recruited and managed a team of three AI engineers
  • Conceived, planned and prioritized the AI roadmap in alignment with company goals
  • Delivered deep learning solutions for object tracking estimation, thyroid and carotid segmentation, and federated learning, replacing manual, classical computer vision workflows with one-click automatic results
Senior Deep Learning Scientist (2021–2023) at piur imaging GmbH.
  • Joined a company with no prior AI and established its AI development from scratch
  • Built the company's production deep learning models for object tracking estimation and for thyroid and carotid segmentation
  • Created a DICOM client–server system
  • Set up the MLOps stack (Airflow, later ClearML) for traceable, reproducible experiments, and defined data formats and machine learning coding practices
  • Ensured research code moves to production quickly: the AI software is a standalone, testable Python repository, independent of the product UI
  • Implemented CI/CD improvements
2024–2026
Lecturer (part-time) at IMC University of Applied Sciences Krems, Austria.
  • Taught the Data Mining course
  • Taught “Image Processing and Visual Computing in Biology and Medicine” in the Bioinformatics Bachelor programme, combining classical image processing with deep learning
2018–2020
Senior Computer Vision Engineer (2019–2020) at Anyline GmbH in Vienna, Austria.
  • Researched and developed deep learning models for various use cases on mobile devices
  • Acted as Project Manager for two customer-facing projects
Computer Vision Engineer (2018–2019) at Anyline GmbH.
  • Developed deep learning models for mobile devices to detect documents on different backgrounds (improving scanning accuracy and speed by 20%), detect sharpness and classify ID types
  • Improved the agile processes of the Mobile SDK team as Scrum Master
  • Trained new employees
2016–2017
Computer Vision Developer at KiwiSecurity GmbH (now the video analytics department of Genetec) in Vienna, Austria.
  • Optimized and developed video-surveillance applications
  • Redesigned the Activity Analyzer application to suit GPU hardware
  • Initiated and implemented unit testing and automatic documentation for the existing code base
  • Trained a new employee
2012–2016
I earned a PhD in Computer Science with a focus on Computer Vision from the University of Vienna, Faculty of Informatics, where I was supervised by Univ-Prof Dr Otmar Scherzer, as a member of the Computational Science Center (CSC). In my thesis I investigated Variational models of visual attention with a special focus on dynamic sequences.
  • Created and implemented mathematical models for visual attention estimation in videos
  • Developed an image processing algorithm for dejittering static images
  • Presented research results at conferences and published papers in international scientific journals (see publications)
2011–2012
Research Associate for the SMILE Project, a spin-off of the University of Naples, Italy.
  • Created an uncalibrated eye-tracker using machine learning and computer vision techniques, assessing the progress of Autism Spectrum Disorder in children
  • Developed City & Bus, an iOS application for real-time public transport information
  • Coached master's degree students
2008–2011
I obtained an MSc in Computer Science from University Federico II of Naples, Italy. My master's thesis was on “Uncalibrated eye-tracking system using Machine Learning for the prediction of the Point of Gaze” and was primarily supervised by Univ-Prof Dr Francesco Isgrò. Prior to my master's studies I graduated with a BSc in Computer Science.
2007–2011
Software Developer (internship and freelance work), Italy.
  • Developed a real-time web server for streaming visual and audio content from mobile devices for ICAR-CNR
  • Developed iOS applications for start-ups

Skills

  • Deep learning: PyTorch, torchvision, TensorFlow
  • Computer vision and medical imaging: OpenCV, scikit-image, Albumentations, MONAI, SimpleITK, pydicom, DICOM
  • Federated learning: NVIDIA FLARE
  • Model deployment: ONNX / ONNX Runtime, TensorRT, OpenVINO
  • MLOps: ClearML, MLflow, DVC, Airflow, TensorBoard
  • Machine learning and data: scikit-learn, NumPy, Pandas, Pydantic, Jupyter
  • AI-assisted development: Claude Code, GitHub Copilot
  • Programming languages: Python, C++, C
  • Engineering tools: Git, Docker, pytest, CMake, Linux, CI/CD
  • Databases: PostgreSQL, MySQL
  • Ways of working: Scrum (former Scrum Master), Agile, Jira

Courses

  • Claude Code in Action, Anthropic (2026)

Languages

Italian (native), English (C1), German (B2), Romanian (A1).

Full CV available upon request.