Leonardo Garofalo Email & Phone Number

Fitness wearable for strength training to prevent injuries and improve performance Backed by EF and Transpose

San Francisco, California, Us

Part of the 2024 AI x Hardware residency cohort a 6-week deep-tech residency program in San Francisco for founders in the AI and hardware space.

London, Gb

Cambridge, England, Gb

Applied data science to analyze and understand neuromuscular activation patterns during Yoga poses.

– Trained, optimized, and deployed a computer vision deep learning model for real-time detection of parasitic crops in fields using a camera system mounted on a moving vehicle.– Integrated HAILO AI Neural Network Acceleration module in an embedded environment to speed up model inference time and reduce power consumption.

– Developed server-side logic and database infrastructure to store anonymized user self-care journals and reports.– Designed and implemented a dashboard UI for tracking and visualizing user activity over time.

London, Gb

– Optimized a graph drawing algorithm, improving human readability by minimizing the amount of overlapping edges in the visualization of the graph.– Implemented a data cleaning and preprocessing pipeline for a custom Graph Neural Network algorithm

Master Of Engineering, Electronic And Information Engineering

Research Student - Mrc Cognition And Brain Sciences Unit

National School On Modern Physics

Exchange Student (Academic Scholarship)

High School Diploma