💡 Overview

Husky Match is an AI-driven mentorship platform that connects Northeastern students with alumni mentors based on shared goals, interests, and learning preferences.

Built entirely with no-code tools, the system uses data clustering and visual matching flows to deliver a fast, personalized mentorship experience—no traditional software development required.

🧭 Product Vision

Create a mentorship experience that feels as intuitive as a social app and as powerful as an analytics engine connecting students and mentors in seconds through automated matching, smart workflows, and real-time insights.

"Our mission was to prove that you don't need to write code to deliver intelligence, design, and delight."

🌍 Problem

Students lacked a quick, personalized way to find mentors that truly aligned with their goals.

Traditional networking felt slow, transactional, and impersonal leaving many mentorship connections unfulfilled.

💡 Solution

Built Husky Match, a no-code AI-driven mentorship platform that uses clustering algorithms to pair students and mentors based on shared interests, goals, and experiences — all without writing a single line of code.

The MVP demonstrated how thoughtful automation and UX can replace complex engineering for rapid innovation.

🚀 Why No-Code?

As Product Manager, I set an accelerated delivery strategy with a 48-hour MVP timeline.

We prioritized speed, scalability, and accessibility choosing no-code and low-code tools to rapidly prototype, test ideas, and launch a working mentorship product.

Code Stack

👤 My Role