Featured Case Study

Nexus AI: a career operating system for college students.

Nexus AI organizes applications, projects, resumes, networking, interviews, skills, and goals into one workspace, then turns that data into priority alerts, career coaching, and weekly next actions.

Animated Nexus AI product walkthrough

Problem

Students manage career prep across too many disconnected tools.

Applications may live in one spreadsheet, resume notes in a document, projects on GitHub, deadlines in a calendar, and networking follow-ups in messages. Nexus brings those workflows into one career-focused system.

Users

Ambitious college students preparing for internships.

The target user is a student who wants to track opportunities, build evidence through projects, prepare for interviews, and understand what to work on next without losing context.

Product

One workspace for applications, proof, alerts, and next actions.

The app includes application tracking, project storage, certification planning, networking follow-ups, interview preparation, resume notes, goals, career readiness signals, priority alerts, recent activity, and AI-style coaching from live workspace data.

Technology

Frontend dashboard with a deployed backend path.

Nexus uses JavaScript, HTML/CSS, Python, FastAPI, SQLite, GitHub Pages, and Render. The backend supports the product direction toward persistent accounts, PostgreSQL, and AI coaching.

Architecture

How the system is structured.

Frontend Career dashboard, forms, cards, readiness views
API FastAPI routes for student career records
Database SQLite tables for applications, projects, goals, contacts
Deployment GitHub Pages frontend and Render backend

What I Built

Core modules

  • Application tracker for roles, stages, deadlines, and follow-ups.
  • Resume coach workspace for bullets, proof links, and skill alignment.
  • Project and certification trackers for portfolio readiness.
  • Career readiness score to summarize progress into a clear signal.
  • Priority alerts for overdue items, missing proof links, deadline windows, and role-fit gaps.
  • Recent activity timeline and onboarding flow for a cleaner first-use experience.

What I Learned

Systems thinking

  • How to turn a broad product idea into connected workflows.
  • How CRUD, API routes, CORS, and database design support real apps.
  • How backend health checks, schema initialization, and graceful local fallback make a product more reliable.
  • How to present a product through a live app, GitHub, demo, and case study.
  • How to keep AI as a support layer instead of making the whole product a chatbot.

Roadmap

Where Nexus goes next.

Authentication PostgreSQL migration LLM-powered coaching with saved user context Weekly email summaries Mentor sharing Campus beta testing