Paolo Platter
Product Manager at Witboost
Turin, Piedmont, Italy
Summary
🤩
Rockstar🎓
Top SchoolPaolo Platter is a seasoned product and technology leader with 11 years of experience building data-driven products and engineering teams from Turin, Italy. As co-founder and CTO of Agile Lab and former CTO at aim2, he has led initiatives that bring deep learning to the edge and improve data management in large organizations, while currently shaping product strategy at Witboost. He combines hands-on engineering roots—contributing front-end fixes and visualization features to the popular spark-notebook open-source project—with strategic leadership across startups and mentoring roles at international innovation academies. Comfortable spanning the stack from embedded AI to enterprise data platforms, Paolo is known for turning complex technical challenges into pragmatic product outcomes and for blending deep telecom/financial systems experience with modern ML and UI work.
11 years of coding experience
14 years of employment as a software developer
High School, High School at L. Maurilio FossatiMaster’s Degree Telecommunications Engineering, Master’s Degree Telecommunications Engineering at Politecnico di Torino
Github Skills (8)
notebook10
scala10
javascript9
html9
css9
apache-spark8
ui-design8
data-science7
Programming languages (5)
Github contributions (5)
spark-notebook/spark-notebook
Nov 2014 - Jun 2015
Interactive and Reactive Data Science using Scala and Spark.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:22 commits, 2 PRs, 1 push in 6 months
Contributions summary:Paolo primarily addressed UI and front-end issues within the Spark Notebook project. They fixed CSS paths and implemented a basic tab control using HTML, CSS, and JavaScript (likely jQuery). Furthermore, the user appears to be involved in extending the project's functionality by adding support for different chart types like bar and pie charts and providing multi-chart capabilities within a single notebook. This also included cleaning up existing rendering code.
sciencedata-sciencenotebookspark-mlspark
agile-lab-dev/Data-Product-Specification
Jun 2021 - Dec 2022
An open specification for data products in Data Mesh
Contributions:2 reviews, 27 commits, 10 PRs in 1 year 6 months
meshdata-managementdataproductspecificationdata-mesh
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