Product Manager
Zhiyuan(Anthony)Huang

AI Product Manager driving measurable growth through data-driven strategy and user-centric design

User Growth

5x

at Mindverse AI

Daily Active Users

1,000+

sustained growth

Conversion Rate

1:6

first open to download

About Me

I'm a Product Manager at Northwestern University studying Computer Science and Manufacturing & Design Engineering with a focus on Human-Computer Interaction. I specialize in AI products, combining technical expertise with strategic product thinking to drive measurable business outcomes.

My approach centers on data-driven decision making, rapid experimentation, and deep user empathy. I've successfully scaled products from early-stage to sustained growth, optimizing every step of the user journey from acquisition to retention.

Featured Work

Product Operations

Scaling Mindverse AI: 5x User Growth

Led product operations and growth strategy for Mindverse AI, a social AI platform. Built repeatable growth loops across content, distribution, and conversion optimization.

Challenge

Stagnant user acquisition (200-300 daily users) with unclear growth drivers and suboptimal conversion funnel.

Solution

Implemented data-driven growth framework: analyzed Google Ads performance across segments, optimized conversion funnel, and designed CES event-to-product workflow.

Impact

  • • Increased daily users from 200-300 to sustained 1,000+ (5x growth)
  • • Achieved peak of 3,000 daily users
  • • Improved funnel efficiency to 1:6 ratio (first open to download)

User Growth Trajectory

NovDecJanFeb0 users400users800users1,200users1,600users

Conversion Funnel Optimization

First OpenDownloadSign-up0%25%50%75%100%
Product Strategy
Frontend Development & Product

High-Performance 3D Mapping Platform

Built scalable Mapbox GL JS rendering pipeline for smart city and real estate showcases, optimizing for performance on low-end hardware.

Technical Achievement

  • • Maintained 65-80 FPS on low-performance computers
  • • Reduced long-frame occurrences by 48%
  • • Cut render-time spikes by 35%

Product Impact

  • • Reused 70% of core modules across 3 projects
  • • Reduced feature development time by 30%
  • • Shortened integration from 2.5 days to 1.7 days per feature
Product Design & Innovation

SST Tester: Medical Device for Alzheimer's Detection

Designed and patented a portable aroma diffuser for early detection of memory decline, integrating SST (Smell Stick Test) methodology.

Product Journey

  • • Conducted research published in academic journal
  • • Designed product and secured patent
  • • Soft launched on Kickstarter
  • • Raised $10,000 in 90 days

Recognition

  • • 3rd prize in CSEF (California Science & Engineering Fair)
  • • Published in Transactions on Materials, Biotechnology and Life Sciences
Design Innovation

Experience

Product Operation

Mindverse AI

Dec 2025 - Present

Driving 5x user growth through data-driven product operations, growth loop optimization, and conversion funnel improvements.

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Frontend Developer

JingAn Technology

June 2025 - Aug 2025

Built high-performance 3D mapping platform with 48% reduction in rendering issues and 30% faster feature development.

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Design + Tech Consultant

Bear Studios Consulting

Oct 2024 - Jun 2025

Led client projects for startups, providing UI/UX design, web development, and product strategy consulting.

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Product Manager + Designer

SST Tester

Mar 2022 - Jan 2024

Designed medical device for Alzheimer's detection, raised $10K on Kickstarter, and secured patent.

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Skills & Expertise

Skill Proficiency

Product StrategyUser Research0%25%50%75%100%

Core Competencies

Product Management

Product Strategy
Growth Hacking
A/B Testing
User Research
Roadmap Planning

Analytics & Data

Google Analytics
SQL
Python
R
Data Visualization

Technical Skills

React
JavaScript
HTML/CSS
Tailwind
APIs

Design Tools

Figma
Adobe Suite
Rhino
SolidWorks

Publications & Research

2025

Web Accessibility Design Using Color Psychology

The 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)

2024

Causal Inference and Genome-Wide Perturb-Seq

Transactions on Materials, Biotechnology and Life Sciences, Vol. 3, pp. 1–10

DOI: 10.62051/q3wv5n75

Let's Connect

I'm always interested in discussing product opportunities, collaborations, or just chatting about product management and AI.

Education

Northwestern University

Double Major: Computer Science + Manufacturing & Design Engineering

Certificate: Human-Computer Interaction

Expected Graduation: June 2028

ACT: 36 (Perfect Score)