Founder

ConsultX

Earlier AI build: voice/RAG learning system for MBA recruiting prep.

Problem

MBA consulting candidates need repetition, structure, and feedback, but peer practice is hard to schedule and inconsistent in quality. ConsultX turns that recruiting pain into an always-available practice partner with cases, frameworks, scoring, and targeted follow-up.

Users

MBA candidates

Consulting applicants

Future IB and tech recruiting candidates

What I built

Voice-based AI case interview simulator for live practice.

Retrieval over cases, frameworks, drills, quizzes, and practice content.

Structured grading, feedback, and a learning library that turns a weak answer into next-step practice.

AI / technical approach

Real-time voice interaction for live case practice.

RAG and embeddings over case/framework content.

Evaluation flows that separate live interview behavior from scoring and feedback logic.

Reliability controls

Structured scoring and improvement recommendations.

Separate learning modes for simulation, drills, and knowledge review.

Practice content organized so users can move from feedback to targeted improvement.

Business or operating impact

Solved a real MBA peer problem: finding credible case practice and feedback outside scheduled practice blocks.

Ran hundreds of mock interviews for friends and users while building around public case-prep content.

Built a library of roughly 500 cases across frameworks, drills, and practice material.

Created a product architecture extendable from consulting case prep to IB, tech, and other recruiting workflows.

Shows RAG, voice UX, evaluation, and content-system thinking in one product.

What I can walk through

Live product at consultxcase.com.

Discussion available on retrieval structure, mock-interview design, scoring workflow, and content-system design.

Interview walkthroughs can use public case-prep examples and sample user flows.