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Daniele Petroselli

I turn business needs into working products

Co-founder & CTO, GluakRome, Italygluak.com
daniele@petroselli.comlinkedin.com/in/daniele-petroselli-b532a53

Profile

25 years in software, from robotics research to mobile TV for telecom carriers and an app with 10M+ downloads. I take a service from idea to production on my own — and I speak the language of marketing, sales, management and engineering, so one system ends up working for all of them.

Business ↔ techTurning what marketing, sales and operations ask for into working systems.
End to end, any domainDesign, build, integrate and run a complete service: sport, telecom, media, travel.
Built for scaleFutbol24: 10M+ downloads, about 1.5M users a month, realtime backend.

Experience

Gluak · Co-founder & CTO
2015 – Present

Italian software studio building and running its own services. I lead the technical side, from product design to production.

Products
Client work
Beeweeb · mobile software agency
2000 – 2015

Software Engineer 2000–06 · CTO 2006–08 · Chief Technical Architect 2008–09 · CTO 2009–15

Grew with the company from developer to head of production and CTO, while revenue went from a few hundred thousand euros to €5M a year.

Technical skills

Mobile
React Native, Expo, iOS (Swift, Objective-C), Android (Kotlin, Java), store releases
Backend
Node.js, NestJS, PHP, TypeScript, REST APIs, WebSocket, ActiveMQ
Data
MySQL, MariaDB, Redis, Varnish (custom module in C)
Web
Next.js, React, back-office and admin dashboards
Integrations
WhatsApp Cloud API, push at scale (APNs, FCM), Firebase, marketing attribution
Infrastructure
Bare-metal Linux, nginx, Apache; AWS (S3, Lambda, EC2, CloudFront)

Education

Università degli Studi Roma Tre
Master's degree in Computer Engineering (5-year Laurea in Ingegneria Informatica)
1994 – 1999

Languages

Italian — native
English — fluent

Publication

S. Panzieri, D. Petroselli, G. Ulivi — Topological localization on indoor sonar based fuzzy maps. IAS-6, Venice, IOS Press, 2000, pp. 596–603.

Robot navigation from noisy, uncertain sensor data with a lean algorithm.