Virtual Career Portfolio Hub – AI SaaS Submission & Evaluation Portal
Project Overview
The Virtual Career Portfolio Hub is a specialized B2B SaaS platform engineered to modernize academic and professional bootcamp submissions. Built to replace fragmented email workflows, it provides an interconnected ecosystem where students use an AI workspace to shape unstructured drafts into standardized rubrics, while evaluators review live apps, check strict privacy compliance, and log structured scores inside an immersive dashboard.
The Tech Stack
Frontend Architecture: Next.js, Tailwind CSS (Fully Responsive & Mobile-Optimized)
Design & Layout: Figma
Backend & Database: Firebase
AI Integration: Google AI Studio
0
7
ApplyIQ – AI-Powered Job Application Tracker & Resume Screener
Overview
ApplyIQ is a full-stack web application designed to help job seekers track their applications and optimize their resumes using AI. Users can manage their interview pipeline via an intuitive dashboard, log specific job details, and simulate an automated applicant tracking system (ATS) screening process. By processing uploaded resumes against job descriptions, the app delivers a comprehensive match score, breakdowns of core strengths, and actionable alignment feedback before submission.
My Role & Execution
As the sole Product Designer and Full-Stack Engineer, I took this project from initial UX ideation and high-fidelity interface design to production-ready code.
Design & UX: Engineered a clean, data-dense layout focusing on clarity. I prioritized the visual breakdown of metrics, application funnel status, and information extraction review steps to ensure a seamless multi-step user flow.
AI Integration: Connected the backend to the Groq API to perform high-speed resume analysis, extracting critical text fields, scoring core skill matches, and generating constructive feedback dynamically.
Payments & Monetization: Implemented Stripe API to manage subscription tiers, building out secure payment rails and conversion logic for the premium tier.
Tech Stack & Reliability: Built the core application using Next.js for optimal speed and routing, styled with Tailwind CSS. To ensure high platform stability, I implemented comprehensive automated end-to-end testing utilizing Playwright and component verification with Vitest.
0
30
Project Title: Interactive Next.js Portfolio ft. VERA
Role: Product Designer & Builder
Project Overview Designed and developed a custom, high-performance portfolio site using Next.js, featuring Vera—an AI assistant designed to handle site navigation. Built using ChatGPT and engineered with visual assets from Adobe Firefly, Vera transforms standard portfolio browsing into an interactive experience. The site also acts as a hub that automatically routes updates directly to Bluesky.
Key Highlights
Next.js Architecture: A fast, responsive frontend designed for seamless case study exploration.
AI Navigation (Vera): Co-created with ChatGPT and styled with Adobe Firefly to guide visitors dynamically.
Bluesky Integration: Automatically cross-posts portfolio updates directly to social feeds.
Explore the Project Live: 👉 Live Portfolio: davidraigoza.design (http://davidraigoza.design) (http://davidraigoza.design/)👉 Updates & Feed: https://bsky.app/profile/frustramatic.bsky.social
0
46
QIE Bank
Engineering trust for decentralized lending.
Traditional banks manage risk by restricting access to credit. Decentralized finance removes many of those barriers, but often replaces them with technical complexity and lending models that demand excessive collateral.
QIE Bank (https://qie-bank.vercel.app/) explores a different approach: combining modern banking patterns with Web3 infrastructure to create a lending experience that feels familiar while engineering risk behind the scenes.
My Role
I led the project end to end, from product strategy to implementation.
Product Architecture
Smart Contract Development
UX Architecture
UI Design
Design System
Frontend Development
The Challenge
Designing a decentralized lending platform isn't just a technical problem. Users need to understand their financial position, borrowing power, and protocol health before they're willing to trust the product.
The challenge was to simplify complex blockchain mechanics without hiding the information users need to make confident financial decisions.
The Solution
I designed and built a lending platform centered around transparency and risk management.
Behind the interface, the platform combines:
Secure asset vaults
On-chain identity
Stablecoin infrastructure
Credit scoring
Tokenized bad debt to improve protocol risk management
Rather than exposing users to protocol complexity, the experience presents these systems through familiar banking interactions and clear financial indicators.
Landing Page Strategy
The landing page is designed to reduce friction from the very first interaction.
Instead of leading with wallets, protocols, or blockchain terminology, it focuses on familiar financial concepts, product benefits, and transparent lending mechanics. The goal is to help users understand the value before asking them to understand the technology.
Designed For
QIE Bank is designed for users who want the benefits of decentralized finance without the steep learning curve.
The experience targets:
Crypto users looking for a familiar banking experience
Investors seeking transparent yield opportunities
Borrowers interested in flexible lending options
Privacy-conscious users who value self-custody and on-chain identity
Dashboard Experience
The dashboard transforms complex protocol data into actionable financial insights.
Borrowing power, credit score, vault balances, loan health, and lending activity are surfaced through a clear information hierarchy, allowing users to evaluate risk and make informed decisions without navigating blockchain-specific complexity.
Every screen is designed to reinforce confidence, clarity, and trust while interacting with decentralized financial products.