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TECHNICAL CASE FILE / AI PRODUCT

05/2026 — PRESENT

VCareer

AI Career Development Platform

LIVE / DEVELOPMENT PENDING

A career-practice product connecting CV preparation, job criteria and live AI interviews for a VinUni student pilot. The product remains live while further development is paused pending university funding.

Real-time AI interview
SCREEN 04 / 06REALTIME AI INTERVIEW · TALKINGHEADReal-time AI interview

01 / EVIDENCE

Three signals from the real pilot.

One real-use count, one qualitative survey signal, and one expert review loop — without turning product placeholders into portfolio outcomes.

150+
real student testers
Learners in the VinUni pilot
Survey
higher confidence reported
Qualitative feedback; no job-placement uplift claim
Expert review
CV scoring reviewed
Product Owner, VinUni Career Services

02 / PROBLEM + SCOPE

Connect preparation to the job a student actually wants

  1. CV
  2. JD criteria
  3. Live AI interview

Career preparation was split between CV review and interview practice. The team began with the idea and interviews with the Product Owner from VinUni Career Services, then built one workflow spanning CV work, JD criteria and a live AI interview.

02 · Direct contribution

What I owned

  1. TU / DIRECT

    LiveKit + WebRTC baseline

    Set up the baseline real-time path used by the live AI interview experience.

  2. TU / DIRECT

    CV analysis and CV-to-JD matching

    Developed the deeper analysis and matching workflow that turns CV and job criteria into actionable fit feedback.

  3. TU / DIRECT

    JD Builder

    Built the workflow used to create and structure job descriptions for downstream analysis and matching.

03 / DELIVERY

From discovery to a real learner pilot

06 WEEKS / DISCOVERY TO PILOT

  1. Discovery

    Idea and Product Owner interviews

    The six-week team cycle began in May 2026 with problem framing and interviews with VinUni Career Services.

  2. Build

    Six weeks from idea to product

    A four-person team developed the product from the initial discovery through a pilot-ready release.

  3. Pilot

    Tested by 150+ real learners

    Survey feedback reported higher confidence. CV evaluation and scoring were reviewed by the Product Owner from VinUni Career Services.

  4. AFTER THE PRODUCT WAS ALREADY LIVE

    Recognition

    2nd Prize · Track 4: Transform with Codex

    VCareer entered the June 27, 2026 Hanoi event as an already-live product, as Track 4 required. It was not built from scratch during the hackathon and received $5,000 in OpenAI API credits.

04 / SYSTEM

Realtime in the browser, evidence in the product workflow

This section describes the wider product system. My direct ownership is listed above.

SCOPE + STATE LEGEND

  • PRODUCT CONTEXT
  • TU / DIRECT
  • CURRENT ENVIRONMENT
  • TARGET / USER CUTOVER PENDING
  1. 01PRODUCT CONTEXT

    Browser + TalkingHead

    TalkingHead remains part of the live interview experience; it belongs to the wider product context.

  2. 02TU / DIRECT

    LiveKit + WebRTC baseline

    Set up the baseline real-time path used by the live AI interview experience.

  3. 03APRODUCT CONTEXT

    Next.js full-stack + managed data services

    The product uses Next.js 16, Drizzle ORM, Neon PostgreSQL and managed AI services for interview, CV and matching workflows.

    03BTU / DIRECT

    CV/JD analysis and structuring workflows

    CV analysis and CV-to-JD matching

    Developed the deeper analysis and matching workflow that turns CV and job criteria into actionable fit feedback.

    JD Builder

    Built the workflow used to create and structure job descriptions for downstream analysis and matching.

  4. 04PRODUCT CONTEXT

    Cloudflare R2 and Amazon S3 coexist

    Both object-storage paths are retained in the current system; this is not a completed R2-to-S3 replacement.

  5. TWO DEPLOYMENT BRANCHES

    05ACURRENT ENVIRONMENT

    Vercel / current environment

    Real users currently access the production version running on Vercel.

    05BTARGET / USER CUTOVER PENDING

    AWS Singapore / verified target

    The target architecture has been built and verified; real-user cutover remains pending.

05 / SCREENS

Six views from the live product

The screenshots show the landing flow, CV Builder, CV/job matching, live interview with TalkingHead, interview review and learner dashboard.

  1. SCREEN 01 / 06PRODUCT CONTEXT
    View full screenSCREEN 01 / 06Landing pageLoading original imageLanding page
    Landing pageView full screen
  2. SCREEN 02 / 06TU / DIRECT-SCOPE RELATED
    View full screenSCREEN 02 / 06CV builderLoading original imageCV builder
    CV builderView full screen
  3. SCREEN 03 / 06TU / DIRECT-SCOPE RELATED
    View full screenSCREEN 03 / 06CV / job matchingLoading original imageCV / job matching
    CV / job matchingView full screen
  4. SCREEN 04 / 06TU / DIRECT-SCOPE RELATED
    View full screenSCREEN 04 / 06Real-time AI interviewLoading original imageReal-time AI interview
    Real-time AI interviewView full screen
  5. SCREEN 05 / 06PRODUCT CONTEXT
    View full screenSCREEN 05 / 06Interview review & feedbackLoading original imageInterview review & feedback
    Interview review & feedbackView full screen
  6. SCREEN 06 / 06PRODUCT CONTEXT
    View full screenSCREEN 06 / 06User dashboardLoading original imageUser dashboard
    User dashboardView full screen

06 / STATE

What exists now, and what waits for funding

PRODUCT STATE BOUNDARY

SHIPPED / CURRENT

In the current product

  • Live AI interview flow with LiveKit/WebRTC and TalkingHead
  • CV analysis, improvement and CV-to-JD matching
  • JD Builder for structured job criteria
  • Interview review and learner-facing feedback

PENDING FUNDING

Pending university funding

These items are roadmap—not shipped capabilities.

  • Book mentor meetings for career advice
  • Track learner progress over time
  • Match candidate CVs against Career Services job postings so staff can review fit and candidates can discover suitable roles