Lorenzo Sinisi
Staff Software Engineer at Remote
Berlin, Italy
Summary
👤
Senior🎓
Top SchoolLorenzo Sinisi is a Staff Software Engineer based in Berlin with 11+ years building scalable web and fintech systems using Elixir, Ruby and JavaScript. He has led cross-team initiatives at Remote focused on payroll integrity, automation and data ingestion, cutting hundreds of manual hours through technical innovation. His background includes architecting sensitive banking APIs at solarisBank, implementing AI-driven tax advisor logic at Taxfix, and founding/co-founding several ventures where he handled full-stack systems, mobile apps and integrations. Known as a public speaker and mentor, Lorenzo routinely shapes engineering culture, conducts training, and drives hiring and code-quality practices. He blends startup grit and product sensibility with a deep Elixir/Ruby craftsmanship that favors maintainable, high-performance APIs. An entrepreneurial past (entrepreneur-in-residence at Startupbootcamp and multiple startups) gives him a pragmatic edge in turning complex domain requirements into reliable, auditable systems.
11 years of coding experience
16 years of employment as a software developer
Digital Economics & Entrepreneurship, Digital Economics & Entrepreneurship at M.A.D.E.E - MasterLab in Digital Economics & EntrepreneurshipMarketing & Business Commuincation Economics, Marketing & Business Commuincation Economics at Università degli Studi di Baridiploma specialisation in surveying, diploma specialisation in surveying at I.T.G. P.L. Nervi
English, Italian, German
Stackoverflow
450reputation
657kreached
24answers
1question
Github Skills (150)
programming-language10
appsflyer10
gleam10
scalable10
rete10
elixir10
logic-programming10
otp10
functional-programming10
mina10
beam9
morphing9
hex9
rule-engine9
compiler9
Programming languages (10)
Github contributions (5)
lorenzosinisi/scrumex
Sep 2018 - Jan 2019
Contributions:34 commits, 16 pushes, 2 branches in 3 months
lorenzosinisi/neural_bridge
Jun 2020 - Jan 2021
A bridge between a machine and a human expert (MVP expert system in Elixir)
Contributions:6 reviews, 25 commits, 9 PRs in 7 months
decisionselixirexpert-systemmachinesmachines-capable
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