Max Chen

Developed an AI video indexing tool using Python, Gemini 2.5 Pro, FFMPEG, scene detection, and a search database, reducing video editing session time by approximately 10 hours.

Initiated and managed Product Requirements Documents (PRDs) for content engineering and code documentation, collaborating with 7 creators to define UGC search features.

Engineered a multi-agent coding pipeline utilizing GPT-5/Opus, accelerating FFMPEG development cycles from 2 weeks to 3 days through automated testing and PRs.

Implemented context engineering techniques, decreasing debugging time by 50% and saving over 30 hours compared to previous workflows by mitigating AI hallucinations.

Successfully launched 3 core features (snipping, NLP search, export) within 3 weeks, stress-testing on 667 clips and integrating feedback from 3 creator beta users.

Optimized clip processing performance through resolution downscaling and lazy thumbnails, achieving an 81.25% reduction in latency.

Developed an AI-powered browser tool using Python to automate ERP form population from CSVs, saving 10 consultants over 40 hours of manual data entry.

Presented a comprehensive product strategy document to 8 consultant managers, proposing AI adoption strategies for internal data migration.

Conducted extensive market research across 40 ERP competitors and performed SWOT analysis to identify and present 3 critical customer pain points for sales enablement.

Analyzed win/loss data for over 250 customers, extracting competitive positioning insights to directly inform strategic product development decisions.

Implemented a global skills tracking system for 376 consultants, significantly streamlining project staffing and resource allocation processes.

Led the complete product lifecycle from user research to successful launch of a gamified survey application, boosting student survey response rates by 17.65%.

Executed a multi-channel go-to-market strategy using Mailchimp and LinkedIn Ads, acquiring over 2,000 users through diverse launches.

Conducted over 200 user interviews and designed A/B tests for key features like leaderboards and in-game currency, resulting in a 26% reduction in user churn.

Developed a comprehensive UI library comprising 80 assets, 140+ wireframes, and 15 animations, which enhanced product usability and facilitated 1,731 additional survey completions.

Authored Product Requirements Documents (PRDs) and coordinated a 7-person cross-functional team (4 engineers, 1 GTM, 1 designer) over 4 months, successfully onboarding 100 beta testers.

Mentored 19 startups on product strategy leveraging Notion, Linear, and GitHub, contributing to 4 successful product launches and securing over $2,100,000 in funding.

Reviewed over 30 startup PRDs and product roadmaps, approving features that elevated the cohort's Minimum Viable Product (MVP) completion rate by 30%.

Directed the product roadmap for an internal recruitment tool, centralizing applications and reducing processing time by over 100 hours per cycle.

Optimized recruitment efficiency through restructuring application interviews and documentation, reducing onboarding time by 2 months.

Defined the product vision for UT's inaugural start-up focused hackathon, engaging 167 students in AI/LLM development and design.

Led brand asset creation with a team of 3 designers, generating 100,000 views and significantly impacting event messaging and social media engagement.

Executed a guerilla social media campaign, achieving 115,200 views, 2,600 interactions, and attracting 150 new community members.

Developed 5 go-to-market initiatives and designed physical and digital assets in collaboration with the sales team, engaging over 850 event attendees.

Designed and delivered 6 interactive workshops on deep research and prompt engineering, educating 1,200 students.