M Ibraheem

AI Engineer

Resumize AI • Período integral

Nov 2025 - Present • 11 mos

At ResumizeAI, I built a full-stack AI diff view feature with custom comparison logic, letting users compare their original and AI-enhanced resume content side by side and accept or reject individual bullet point changes. I also developed the job board integration flow: clicking “Craft Resume” saves the job to the database and redirects users straight into the app in build mode with the job pre-loaded. Along the way, I resolved database migration issues that were affecting production data integrity.

Full-stack Engineer

Freelance • Autônomo

May 2024 - Present • 2 yrs 5 mos

Over the course of my freelance work, I architected and delivered five AI-powered full-stack web applications end-to-end for clients across multiple industries, handling everything from system design and database schema to production deployment. At the core of this work, I integrated LLM APIs and built agentic workflow automations and LLM pipelines that streamlined and automated client business processes, turning AI capabilities into practical, production-ready features. I built responsive, mobile-first interfaces with React, Next.js, and Tailwind CSS to surface those AI features cleanly, ensuring consistent cross-browser compatibility and meeting accessibility standards, and I used Framer Motion to add smooth animations and micro-interactions that made AI-driven interactions feel polished and intuitive. I optimized frontend performance through lazy loading, code splitting, and Core Web Vitals improvements, which led to faster load times and better SEO scores. On the backend, I implemented authentication with JWT and OAuth 2.0, covering secure session management and third-party provider integrations, and I designed and tuned PostgreSQL schemas to support AI workloads, improving query performance with indexing strategies, caching layers, and efficient use of Prisma. I deployed and managed production infrastructure across AWS, GCP, and Vercel, handling environment configuration, CI/CD pipelines, and scalability for AI-backed services, and I worked directly with clients to scope requirements, translate business needs into AI-enabled technical architecture, and iterate on feedback through to final delivery.