Resume

Marcelo Pierry

AI product manager focused on strategy, prompt systems, and cross-functional execution.

Computer Science and Information Science student combining product judgment, HCI coursework, and technical fluency to build practical AI experiences.

Education

University of Wisconsin-Madison

Bachelor of Science in Computer Science

Bachelor of Science in Information Science

GPA: 3.94 / 4.0 | Dean's List | Expected Graduation: May 2027

Experience

Building & Shipping

Hands-on product management across AI systems and robotics programs.

Zaon Labs | AI Product Manager Intern

Bellevue, WA | Jun 2025 to Aug 2025

  • Led a cross-functional AI refactoring project using Agile (Scrum) methodologies to restructure 1,100+ LLM prompts, improving system performance, consistency, and reusability
  • Developed a pricing model with in-depth market research and competitive analysis, informing revenue strategy
  • Maintained a prompt engineering framework, including a dynamic prompt library and custom AI agents, enabling scalable, high performance enterprise applications
  • Prioritized and documented product bugs through structured testing to drive iterative quality improvements

Barcbots Inc. | Product Manager Intern

Cupertino, CA | May 2024 to Aug 2024

  • Managed trade-offs between robot design and software complexity, prioritizing features that maximized competition scoring while staying within strict hardware constraints
  • Aligned cross-functional teams across mechanical, sensors, and programming teams to ensure unified progress toward competition milestones
  • Drove hands-on training workshops that strengthened technical proficiency and increased confidence in high-pressure environments
  • Facilitated structured retrospectives to improve teamwork, communication, and execution across competitions

Project Portfolio

Certifications

AI Product Management Specialization

Duke University | 2025

Duke's specialization teaches when AI and ML are a good fit, how to lead machine learning projects, and how to design human-centered AI products. It is a non-coding program that also covers privacy, ethics, and hands-on project work.

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Managing Machine Learning Projects

Duke University | 2025

This course covers the lifecycle of an ML project, from identifying viable use cases through data, modeling, deployment, and maintenance. It also teaches the data science process and key ML system design decisions.

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Machine Learning Foundations for Product Managers

Duke University | 2025

This course gives product managers a non-coding introduction to how machine learning works, when to use it, and how to work with technical teams. It covers model development, evaluation, interpretation, and the intuition behind common ML and deep learning methods.

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Human Factors in AI

Duke University | 2025

This course focuses on human-centered AI product design, including user experience considerations unique to AI systems. It also covers privacy, ethics, bias mitigation, and ways to build user trust in AI-assisted decisions.

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Prompt Engineering for ChatGPT

Vanderbilt University | 2025

Vanderbilt's course teaches how to write effective prompts for ChatGPT and other large language models using reusable prompt patterns. It also covers building prompt-based workflows and applications for work, business, education, and everyday tasks.

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Relevant Coursework

Coursework Highlights

Algorithms & Technical Foundations

Human-Computer Interaction & Information Science