Laura D.

Key Skills

Software

CVAT

Don't disclose

Top Subject Matter

Surgical instrument detection and segmentation (biomedical computer vision).

STEM education tutoring (instructional feedback and coaching).

Mathematics and Physics tutoring (instructional coaching and feedback).

Top Data Types

Text

Image

Top Task Types

Segmentation

Tracking

Point/Key Point

Freelancer Overview

Biomedical systems developer — Curricular Internship (supervised learning pipeline for surgical tools using YOLO).. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Don't disclose. Education includes Bachelor of Science, University of Verona (2025) and High School Diploma, Istituto di Istruzione Superiore Bruno Munari (2022). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Segmentation, Evaluation, and Rating.

Labeling Experience

Tutor — Serenamente Verona (current tutoring).

Don't discloseText

Provided current tutoring in Mathematics and Physics to high school students with emphasis on improving understanding and academic outcomes. The work included iterative coaching and review of student performance to refine learning approaches and strengthen results. This tutoring operated as a continuous feedback and instruction loop tailored to student needs. • Tutored high school students in Mathematics and Physics. • Helped students improve subject understanding to achieve better academic results. • Prepared lesson content and applied teaching strategies. • Delivered ongoing guidance to manage learning challenges effectively.

2025 - Present

Biomedical Systems Developer Intern - University of Verona

CVATImageSegmentationTracking

Completed a curricular internship supporting computer vision work for surgical instruments. Built a supervised learning pipeline for detection and segmentation tasks. Implemented YOLO-based architectures for keypoint detection and instance segmentation with masks, including dataset preparation and performance optimization. • Develop supervised ML pipeline for instrument detection • Implement YOLO models for keypoint and instance segmentation • Manage data annotation, preprocessing, and dataset organization • Optimize model accuracy for real-time clinical tracking using CVAT

2025 - 2025

Biomedical systems developer — Curricular Internship (supervised learning pipeline for surgical tools using YOLO).

CVATSegmentation

Developed a supervised learning pipeline to perform detection and segmentation of surgical instruments for clinical real-time use. Prepared and managed dataset annotation and preprocessing for a specialized surgical tools dataset used to train the models. Implemented YOLO-based architectures to generate segmentation masks aligned with the instrument locations in the data. • Created and handled annotations and preprocessing for the specialized surgical dataset. • Implemented YOLOv11 workflows for instance segmentation mask generation. • Optimized model accuracy to support real-time tracking in clinical environments. • Used CVAT and YOLOv11 tooling to support annotation and training preparation.

2025 - 2025

Tutor — Private (education tutoring with iterative feedback).

Don't discloseText

Provided ongoing AI-adjacent tutoring support by teaching and coaching a student in core STEM subjects. While the role was educational rather than model annotation, the tutoring involved iterative review of the learner’s outputs and guidance on improving performance. This included structuring practice and feedback loops to help the student reach better academic results. • Tutored a high school student in English, Mathematics, Chemistry, and Physics. • Delivered iterative feedback on assignments and practice responses. • Prepared lesson content and applied teaching strategies for improvement. • Supported performance growth through structured guidance.

2023 - 2025

Education

Work History