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charles__brando

Charles W

@charles__brando

AI Full Stack Developer Base44 Lovable Replit Vibe Coding

United States
English, Spanish, French, German, Italian
About me
I’m a full-stack AI developer specializing in Base44, Lovable, Replit, Supabase, and modern vibe-coding tools. I build, fix, integrate, migrate, and deploy web apps, SaaS products, MVPs, and AI-powered solutions. Whether you have a broken app, an unfinished MVP, deployment issues, API integrations, or an idea you want turned into a working product, I can help you move from idea to a reliable, production-ready application. I focus on clean implementation, clear communication, practical solutions, and delivering exactly what your project needs.... Read more

Skills

c
charles__brando
Charles W
Offline • 
Average response time: 1 hour

See my services

Development & MVP
I will build base44 bug fix migrate base44 deployment base44 app publish base44 expert
From$20 / projectMore details
Development & MVP
I will lovable ai expert lovable bug fixing supabase integration deployment vibe coding
From$30 / projectMore details

Portfolio

Work experience

Self_Employed

AI Full Stack Developer

Self Employed • Freelance

Apr 2022 - Present • 4 yrs 4 mos

Experienced in building, fixing, integrating, migrating, and deploying modern web applications using Base44, Lovable, Replit, Supabase, and AI-powered development workflows. Worked on SaaS MVPs, AI web apps, business websites, API integrations, authentication, databases, payment systems, debugging, and production deployment. Helped clients turn ideas and existing projects into functional, responsive, and scalable web applications.

Apple

Software Engineer

Apple • Full-time

Jan 2021 - Dec 2022 • 1 yr 11 mos

Developed high-performance backend services supporting millions of users, improving throughput by 28%. Integrated third-party APIs using OAuth 2.0, increasing efficiency by 40%. Built user-facing web applications with React and TypeScript, reducing defects by 45%. Engineered background processing systems using Kafka and automated CI/CD pipelines using GitHub Actions and Jenkins.