CV Builder Sab Project

Objective

Build an AI-powered resume and portfolio builder that automates ATS keyword optimization and job fit analysis using LLM integration. Enables professionals to generate tailored, competitive resumes with intelligent semantic content enhancement in minutes.

Project Details

• Architect and deploy a production-grade personal portfolio builder featuring automated LLM-based resume customization, real-time job fit analytics, and multi-channel payment integrations.
• Engineered a highly responsive portfolio and resume builder web application using Next.js (App Router), React 19, TypeScript, and Tailwind CSS.
• Architected an intelligent resume optimization pipeline integrating Google Gemini and OpenAI APIs to automate semantic content enhancement and ATS keyword matching.
• Designed and executed a fit-gap analysis algorithm using structured LLM outputs to compare resume profiles against target job descriptions in under 2 minutes.
• Implemented secure payment gateways via Midtrans and Mayar APIs with secure webhook handling to manage user subscriptions and token-based AI credit purchases.
• Developed a custom PDF rendering engine utilizing html2pdf.js and a client-side page-break calculation algorithm, resolving exact A4 layout pagination issues.
• Secured database transactions and data persistence utilizing Prisma ORM with PostgreSQL (Supabase) to support multi-tenant workspaces and user authentication.

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