Nahuel Fandiño
Founding Engineer at Mailberry
Argentina
Summary
🤩
Rockstar🎓
Top SchoolNahuel Fandiño is a founding engineer with 13+ years building user-first web products and a knack for simplifying complex systems into delightful experiences. He helped architect Streamlit’s Cloud frontend (contributing to the open-source Streamlit project used by millions) and later built the Streamlit-in-Snowflake UI after an $800M acquisition. At Mailberry he rebuilt the frontend foundation, created a shared design system, and codified AI-assisted engineering workflows that power multi-agent tooling and automated PR reviews. Equally comfortable across React/TypeScript frontends and backend systems, he blends product-focused UX sensibility with strong system design and observability practices. He’s worked at scale across OLX/Naspers’ global classifieds platform and early-stage robotics and SaaS startups, and he brings practical leadership from prototype to production. Outside software he tunes ECU systems for motorsports and runs a premium automotive parts import business, a reminder of his hands-on, performance-oriented mindset.
13 years of coding experience
13 years of employment as a software developer
Ingeniería en informática, Informática, Tecnología, Programación, Exactas, Ingeniería en informática, Informática, Tecnología, Programación, Exactas at Universidad de PalermoCiencias de la computación, Ciencias de la computación at University of Buenos Aires
Spanish, English
Stackoverflow
74reputation
8kreached
8answers
0questions
Github Skills (19)
unit-testing10
javascript10
python10
front-end-development10
react10
data-visualizations9
data-visualisation9
data-visualization9
ui-design8
data-science7
html6
streamlit6
firebase6
firebase-hosting6
exec6
Programming languages (4)
Github contributions (5)
streamlit/streamlit
Aug 2019 - Jan 2022
Streamlit — A faster way to build and share data apps.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:25 reviews, 100 commits, 195 PRs in 2 years 5 months
Contributions summary:Nahuel's contributions primarily focused on enhancing the Streamlit library's user interface and functionality. They implemented features such as a `number_input` widget with associated unit tests, and improved the responsiveness of existing components with modifications to the layout. The user also addressed bugs, such as those related to date input issues and file upload features, further improving the user experience of the Streamlit app framework.
streamlitpythonmachine-learningdata-sciencedeep-learning
arraydude/meli
Nov 2017 - Mar 2020
PWA
Contributions:19 PRs, 24 pushes, 18 branches in 2 years 4 months
pwareact
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