Jacopo Mangiavacchi
AI, ML, Mobile, Spatial Computing And Sailing
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJacopo Mangiavacchi is a senior AI and mobile technology leader with over a decade of experience building ML-driven products across Microsoft, IBM, Apple-centered integrations, and startups. He has held principal and intrapreneur roles at Microsoft—leading Garage residencies and winning hackathon grand prizes—while also serving as an ML Google Developer Expert and hands-on contributor to projects like Microsoft's VoTT visual labeling tool. Jacopo blends product leadership with deep engineering craft, shipping end-to-end solutions from CoreML and Swift server stacks to cloud microservices and spatial computing. He leads AI research and mobile initiatives today at Polar Sailing AI after recent Head of AI and Principal PM roles, and is comfortable moving between prototyping, production, and developer advocacy. An unusual strength is his long-running cross-platform background—from low-level payments and DRM on iOS to wearable e-textiles—giving him rare fluency in both hardware-adjacent products and scalable ML systems.
10 years of coding experience
29 years of employment as a software developer
no degree Mathematics, no degree Mathematics at Sapienza Università di Roma
Stackoverflow
61reputation
987reached
2answers
2questions
Github Skills (17)
javascript10
image-annotation10
tensorflow10
object-detection10
react10
typescript9
typescript-types9
typescripts9
axios8
swift6
bluetooth-low-energy6
xcode6
keras6
extension-methods6
sirikit6
Programming languages (9)
Github contributions (5)
microsoft/VoTT
Dec 2018 - Aug 2019
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:100 commits, 57 PRs, 288 pushes in 8 months
Contributions summary:Jacopo primarily focused on implementing and refactoring features related to a TensorFlow Pascal VOC exporter within the "Visual Object Tagging Tool" repository. They developed the configuration and initial structure for the exporter, created functionalities for exporting images, and integrated the ability to export the pascal_label_map.pbtxt file. Furthermore, they refactored and modularized the export process by introducing private functions. The user also contributed to browser compatibility by migrating to Axios.
imagetaggervideosannotation-tooltaggingtoolsend-to-end
JacopoMangiavacchi/FaceHangman
May 2017 - Nov 2017
Contributions:65 commits, 2 PRs, 59 pushes in 5 months
face-recognitionfaceiosrecognition
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