Lawrence Hua

Current role. Hands-on builder on an internal AI innovation team, taking ideas from research to working prototype to demo on a two-week cadence, with evaluation gates and human review before anything ships.

Current role. Running a 10-week AI internship whose cohort ships production-grade AI features for Expired Solutions, built a project-based curriculum and partner with the CEO on an AI-native work experience using Claude.

A challenge to ship 30 products in 30 days. Includes tools like One-Click Cleanup, iPhone Photo Deleter, and more.

Tech Lead for AI fashion recommendation platform. Delivered 6 TestFlight releases, reduced AWS costs 85%, and optimized image processing 2.6x faster.

AI Product Manager who shipped a 0-1 Square-integrated kiosk onboarding flow that cut merchant setup time 60% across 100+ merchants, launched Smart Upsells that drove a 15% upsell lift, and built OpenClaw automations, multi-agent agent swarms that cleared a 2,000+ ticket Jira backlog in one week, 55 verified fixes shipped in the first 72 hours at a 99.3% test pass rate and were scaled to automate QA, dev, marketing, and lead-gen company-wide.

Growth Engineer helping job seekers pivot into tech. Driving demand for Work Accelerator by converting 3-5 job seekers through LinkedIn storytelling and building growth-focused tools.

Featured guest on a podcast discussing AI product management strategies, founder mentality, and building AI-native products.

Finalist (Top 4, Social Enterprise) at the 2025 McGinnis Venture Competition pitching Expired Solutions AI platform for grocery automation.

Built AI-driven scheduling, grading, and substitution flows saving 15+ hours/week with 100+ TI-BASIC math programs improving test scores by 40%.

Nonprofit social media platform with roadmap planning and UI design, refining 100+ Figma frames improving UI consistency by 40%.

Comprehensive analysis of Netflix's A/B testing methodologies and optimization strategies for data-driven decision making.

AI Model Evaluation projects as External Expert for Amazon's Mechanical Turk Experts Program with Expert qualification rating. Evaluating AI-generated code, performing prompt assessments, and providing feedback for human-AI alignment.

Developed a KNN model analyzing 10M+ reviews with A/B testing implementation and Grafana visualization.

Researched and defined go-to-market strategy for a new digital asset targeting the gaming industry with compliance and technical alignment.

NFC-based feature prototype that won 1st place at Motorola Product Hackathon for innovative communication features on mission-critical devices.

Reproducible ML pipeline tutorial using Valohai for clean experiment tracking and version control in machine learning workflows.

Distributed systems project combining Android app, database, and RESTful web services for scalable architecture development.

Presented to a class of 30 students receiving an A+ grade while demonstrating strong communication and presentation skills.

Interactive machine learning simulation featuring models from CMU 10601 including Decision Trees, Neural Networks, and KNN algorithms.

Personal portfolio website built with Next.js and TailwindCSS featuring interactive timeline, chatbot, and responsive design.