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Product Manager, Machine Learning

Location:
Houston, TX, 77002
Posted:
July 26, 2025

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Resume:

Lawrence Hua

Delray Beach, Florida www.lawrencehua.com ************@*****.*** linkedin.com/in/lawrencehua EDUCATION

Carnegie Mellon University Master of Information Systems Management GPA: 3.55 Pittsburgh, PA Dec 2024 Concentration: IT Strategy and Management, Artificial Intelligence & Machine Learning Awards: 2025 McGinnis V.C. Finalist, Gebhardt Sandbox Fund, Fall 2024 Dean’s list University of Florida Bachelor of Science, Computer Science GPA: 3.65 Gainesville, FL May 2021 Concentration: Software Engineering & Computer Systems Awards: Bright Futures Scholar, 4x Dean’s List, UF ACM Member WORK EXPERIENCE

Founding Product Manager Expired Solutions, LLC Remote Aug 2024 – Present

● Built 5-year AI product roadmap that unlocked $200M+ projected value by targeting shrink waste; pitched and placed finalist at McGinnis Venture Competition.

● Launched iOS app that cut quality check time 50% by integrating YOLO and LLM-based product verification.

● Secured C-suite interest at Giant Eagle by proposing a 20% shrink reduction pilot backed by 250+ shopper surveys and 15+ stakeholder interviews.

● Drove strategy by working 4 months in-store as produce manager to surface shrink triggers and frontline pain points. Product Manager AIGC Community Engagement PM Happy Hour Remote Mar 2025 – Present

● Increased community engagement 30% by launching AI content workflows using ChatGPT, Sora, and CursorAI.

● Led live portfolio workshop enabling 5+ job seekers to ship AI-powered portfolios with low-code tools.

● Boosted user retention 20% (120 users) through A/B tested onboarding and four feedback-driven feature releases.

● Secured partnership with Nora AI, coordinating demo and tool access for 600 members to support job readiness journey. AI Product Consultant Tutora Remote Mar 2021 – Present

● Automated scheduling, invoicing, and grading with a full stack web app integrating OpenAI API and currently used tools, saving 15+ hours/week.

● Designed 100+ TI-BASIC tutoring programs that improved math scores 40% for 90 students by tailoring interventions to insights from 1500 test results in collaboration with the tutoring team. Embedded Android Engineer Motorola Solutions, Inc. Schaumburg, Illinois Aug 2021 – Aug 2023

● Built GPS, messaging, and UI features for 15,000+ public safety radios, improving real-time communication reliability for first responders through Android development and testing workflows.

● Cut integration delays by 25% by resolving 80+ Android issues through debug tools (ADB) and JIRA coordination.

● Won 1st place in Motorola’s internal hackathon by prototyping NFC-based enhancements that sped up push-to-talk response time and simplified device interactions for field users. LEADERSHIP EXPERIENCE

Product Management Volunteer PanPalz Remote Aug – Jan 2025

● Developed a 6-month roadmap and prioritized 2 MVP features based on 100 user research findings.

● Redesigned 100+ Figma frames with Design/Research teams, improving usability 40%.

● Drove GTM alignment via weekly syncs and Slack, delivering 2 critical features on time. Consultant (Capstone), Technical Lead Kearney and Bath and Body Works Pittsburgh, PA Aug – Dec 2024

● Defined user pain points through stakeholder interviews and translated them into a 6-month adoption roadmap with an accepted GenAI prototype.

● Delivered a RAG-enabled dashboard that automated analysis of unstructured documentation, saving 18 hours/week. SKILLS

Technologies & Tools: GPT (Azure/OpenAI), YOLO, Vision AI, SQL, Python, REST APIs, Power BI, Figma, Firebase, GitHub, JIRA, Confluence, Excel, iOS, Android, Cursor AI, ChatGPT, PowerBI. Methodologies: Agile (Scrum), A/B Testing, Product Roadmapping, PRD Writing, OKRs, Stakeholder Alignment, Go-to-Market (GTM) Strategy, User Research, Data Storytelling, Prompt Engineering. Certifications: IBM AI Product Manager Certificate, Professional Scrum Product Owner I (PSPO I). Interests: Applied AI in retail & operations, Supply chain automation, Responsible ML, Community-driven product design.



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