Edoardo Lanzini
Software Engineer at Mybaddi Ripetizioni
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEdoardo Lanzini is a software engineer with eight years' experience building full-stack tools and research-grade systems, currently developing automated trading strategy frameworks at Goldman Sachs. He blends strong CS foundations from TU Delft with international business perspective from Erasmus, enabling pragmatic solutions across analytics, back-end services, and user-facing features. Notable contributions include enhancing an AI code editor—implementing fuzzy file search with fuse.js and integrated terminal functionality—demonstrating attention to developer experience and tooling. He co-founded a regional tutoring marketplace, showing product instincts and community building beyond engineering. Selected as a mentee for LeadTheFuture, he pairs technical skill with mentorship-driven growth, and his playful Elba-born pride hints at a hands-on, persevering approach to projects.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, International Business Administration, Bachelor's degree, International Business Administration at Rotterdam School of Management, Erasmus UniversityDiploma, Science and Technology, Diploma, Science and Technology at Liceo Galileo GalileiBSc Computer Science and Engineering, Computer Science, BSc Computer Science and Engineering, Computer Science at Delft University of Technology
English, Italian, bergamasco
Github Skills (22)
javascript10
electron10
file-search10
typescript10
typescript-types10
typescripts10
react10
editor9
fuzzy-search9
nodejs9
code-editor9
api8
css8
fileio8
file-operations8
Programming languages (7)
Github contributions (5)
getcursor/cursor
Mar 2023 - Apr 2023
The AI Code Editor
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 PRs, 8 comments, 18 issues in 16 days
Contributions summary:Edoardo contributed to the AI code editor by implementing and improving search functionality using fuzzy search algorithms. They modified the codebase to include fuzzy search for files within the project, leveraging `fuse.js` for efficient searching. Additionally, they integrated the terminal feature by setting up and resizing terminal instances within the editor, enhancing the user's development workflow. The user also focused on improving the user interface by displaying images correctly and resetting the file tree view.
elanzini/License-Plate-Detection
Dec 2019 - Apr 2020
License Plate Recognition of Dutch License Plates using OpenCV
Contributions:37 commits, 3 PRs, 2 pushes in 4 months
pythonlicense-plateplateplate-recognitionplates
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