FM

Francesco Marko Livaic

Available to hire

Full-stack engineer (React, Node, Supabase, Cloudflare) and Co-Founder/CTO of a B2B SaaS.

About

Full-stack engineer (React, Node, Supabase, Cloudflare) and Co-Founder/CTO of a B2B SaaS. I build secure, GDPR-minded web apps end to end, data layer with row-level security, Stripe and third party integrations, and responsive React frontends. Based in the EU (Croatia), so GDPR and EU data residency are native to how I work. I also work in a reliability first enterprise environment at Ericsson, so correctness and safe handling of sensitive data are second nature.

  • 1 year's experience
  • Joined July 2026

Languages

  • CroatianFluent
  • EnglishFluent

Industry experience

  • Software & Internet
  • Telecommunications
  • Professional Services
  • Other

Work experience

Co-Founder & CTO · Vectra XRJan 2026 – Present · 11 mos

Co-founded a B2B SaaS and own the full stack, shipping features from a single Next.js 14 + TypeScript codebase with Node.js and Python services; reduced a core step from 20 seconds to under 3 seconds with a containerized microservice. Designed a multi-tenant PostgreSQL data layer (Supabase + Prisma) with Row-Level Security, and built a REST service layer gated by a Gitflow CI/CD pipeline with Vitest and Playwright.

Software Developer · Ericsson Nikola TeslaJan 2025 – Present · 1 yr 11 mos

Engineer scalable Java solutions for the MJE test framework (~4M lines) validating Ericsson’s global 4G/5G RAN infrastructure across a large, multi‑team R&D organization. Focus on concurrency control, memory management and latency reduction for high‑throughput data streams in a distributed environment. Built automated log-analysis scripts for anomaly detection to improve system stability, working through Jenkins and Gerrit in a complex CI/CD pipeline with code reviews across connected repositories.

Education

Professional Bachelor of Computer Engineering (Software Engineering) · Zagreb University of Applied Sciences (TVZ)2023 – 2026

Certifications and awards

Machine Learning Specialization (Stanford / DeepLearning.AI)2030 – 2026
Deep Learning Specialization (DeepLearning.AI)2030 – 2026
CS50’s Introduction to AI (Harvard)2030 – 2026
Building AI Applications for Edge Devices (NVIDIA DLI)2030 – 2026

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