Robert Petteruti
Co-Founder & President at eTip
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolRobert Petteruti is a founder and product-focused operator with eight years of experience building go-to-market and product operations for data- and AI-driven platforms. As Co-Founder and President of eTip in Boston, he has driven product, sales, and partnership strategy for a cashless mobile tipping solution that elevates hospitality worker income and guest experience. Previously at Quantopian he bridged product, engineering, and sales to launch the company’s first SaaS offering and scaled enterprise onboarding and revenue efforts, while also contributing backend edits to Quantopian’s widely used research tutorials. His background spans investment strategy at Vise, analytics-driven growth roles, and hands-on engineering work (Django tooling at RBC and internal Quantopian tooling), giving him a rare mix of technical fluency and commercial execution. Colleague-facing program design and process implementation are recurring strengths, as is translating quantitative insight into product and GTM decisions.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree: Engineering Economics, Bachelor's degree: Engineering Economics at Brown UniversityRocky Hill Country Day School
Spanish, English
Github Skills (5)
jupyter-notebook10
python10
modeling9
statistical-models9
finance9
Programming languages (2)
Github contributions (4)
quantopian/research_public
Apr 2018 - Jan 2020
Quantitative research and educational materials
Role in this project:
Back-end Developer
Back-end DeveloperContributions:47 commits, 37 PRs, 38 pushes in 1 year 9 months
Contributions summary:Robert primarily focused on updating and refining existing tutorial notebooks within the repository. Their contributions included modifying notebook code to incorporate the QTradableStocksUS filter and adjusting the output display. These changes likely involved updating the tutorial examples to reflect new functionality or best practices within the Quantopian research environment. The user also fixed a typo in a tutorial.
quantitative-researchsciencebrain-computer-interfacedata-sciencescientific-computing
quantopian/zipline
Jan 2020 - Jan 2020
Zipline, a Pythonic Algorithmic Trading Library
Contributions:1 commit, 1 PR, 1 push in 1 day
algorithmic-tradingziplinequantpython
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