Education
- B.S. in Internet of Things, Big Data & Machine Learning, 2017 - Present
Work experience
Stanford University, Visiting Student Researcher, December 2020 - Present Computational Neuroscience Laboratory (CNSLAB) under the supervision of Dr Ehsan Adeli, and Dr Niki Martinel
- BidPremium, AI Engineer, March 2020 - Present
- Responsible for the defects detection pipeline, processing images of fabrics, cables, and lenses.
- Analyzed the state-of-the-art to identify the most appropriate techniques for the task (papers, and surveys)
- Collected a curated dataset with scripts in Python (CVAT, PASCAL VOC, COCO, and YOLO format)
- Implemented the most promising models with Pytorch or Tensorflow, and tested their performance on the internal dataset
- Responsible for the defects detection pipeline, processing images of fabrics, cables, and lenses.
- University of Udine, Research Assistant in Computer Vision, September 2020 - Present
- Research Assistant – Department of Computer Science – Machine Learning and Perception Lab
- Lead The Future, Mentee, October 2020 - Present
- Among the few Italian students selected to be mentees for LeadTheFuture, a leading mentorship non-profit organization for students in STEM, with an acceptance rate below 20%. LeadTheFuture empowers top-performing students to achieve their goals and contribute to their communities by giving them one-on-one guidance from high-impact mentors coming from the world’s leading STEM innovation hubs such as Silicon Valley and CERN.
- Datamantix, AI Software Developer, November 2019 - March 2020 Cleaned the datasets through Python scripts, and performed the training with Fast.ai Project for which I actively contributed: detection of diabetic retinopathy through deep learning techniques.