Ugo Sangiorgi
Principal Product Marketing Engineer at Elastic
Ecuador
Summary
🤩
Rockstar🎓
Top SchoolUgo Sangiorgi is a Principal Product Marketing Engineer with 17 years of software experience, blending product strategy, usability research and hands-on engineering across web, desktop and mobile. He has led solution design and platform architecture at Elastic and previously built multi-device HTML5 prototyping systems during his PhD work in interaction design. A Master in Human-Computer Interaction and a PhD-trained researcher, he focuses on improving user experience while selecting pragmatic technologies to solve real problems. Ugo’s mobile work has reached over two million Google Play users and he has contributed to Eclipse tooling (including leading the Sketch project), reflecting a rare mix of academic rigor and practical product delivery. Based in Ecuador, he excels at translating competitive intelligence and technical capabilities into compelling product narratives for developer and enterprise audiences.
17 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Université catholique de LouvainPontifical Catholic University of Rio de JaneiroBS, Computer Science, BS, Computer Science at UniRuy
English, French, Portuguese, Spanish
Github Skills (167)
benchmark10
opensearch10
heartbeat10
docker-container10
elasticsearch10
visualizations10
packetbeat10
logstash10
search-engine10
observability10
metricbeat10
benchmarking10
filebeat10
java10
elastic10
Programming languages (13)
Github contributions (5)
ugosan/vscode-openpgp
May 2020 - Jul 2022
This extensions implements OpenPGP in VSCode, allowing you to encrypt and decrypt files using public and private keys.
Contributions:1 PR, 32 pushes, 4 branches in 2 years 2 months
openpgpvscodevscode-extensionprivate-keyskeys
ugosan/pycon2019-elastic
Jan 2019 - Feb 2019
Repository for the APM Workshop
Contributions:60 commits, 51 pushes, 6 branches in 17 days
machine-learningapmworkshop
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