Product Line Leadership & Market Expansion • Secured Product-Market Fit for "AI CoPilot", the company's core AI product line, by leading the development and launch of two new computer-vision-based AI products (OmniGuard & DriverCare), successfully pivoting the portfolio from technology-led to customer-centric. • Landed the company’s first North American client, a critical milestone for investor confidence, by leading product localization and executing successful proof-of-concept (POC) trials with key strategic partners. Technical Design & System Optimization • Spearheaded the design of a cloud-based re-inference system to resolve edge device instability, which simultaneously increased AI precision by 10-30% and reduced manual QA labor costs by over 80%. • Reduced the Mean Time to Resolution (MTTR) for post-launch performance issues from 2-3 months down to 3-4 weeks by designing and specifying an automated system for dynamic performance sampling and anomaly detection alerts. Process Efficiency & Cost Management • Increased the AI team's R&D velocity by 50%, reducing the deep learning model optimization cycle from 3-4 months to 1-2 months by implementing and leading the Scrum process for a team of 4 AI/ML engineers. • Reduced key hardware costs by over 50%, directly improving product margins and customer adoption rates, through strategic sourcing and vendor management.

• Delivered over 100 garment product projects, contributing to 25% of the department's total sales revenue. • Conducted sales analysis and forecasting reports for senior management to inform strategic decision-making.