Phillip Shen

Lead engineer for AI-driven ITS (Intelligent Transportation Systems) platform, owning system architecture, production pipelines, and deployment execution across US operations.

System Architecture & Infrastructure

• Architected and implemented real-time streaming and API infrastructure (TCP, REST) for ITS platform, enabling integration with external traffic control systems
• Designed and deployed CI/CD and validation pipelines (Jenkins) for US software releases, improving reliability and reducing deployment friction
• Built fault detection framework for LiDAR systems, now used in production across deployed hardware

AI / Data Systems

• Established and scaled data annotation pipeline, managing US-based team and delivering curated datasets for AI model training
• Led validation and performance evaluation of AI models in production ITS environments
• Contributed to development of first production AI models trained exclusively on US traffic data

Technical Leadership & Execution

• Led US FAE (Field Application Engineering) team, driving execution of POCs and customer deployments
• Served as primary technical interface between engineering and business development, translating customer requirements into system-level solutions
• Owned technical onboarding and training programs for internal teams, partners, and customers

Key Impact

• Contributed to LiDAR design win with Apple (autonomous systems initiative)
• Delivered technical execution contributing to multi-city ITS deployment (New Jersey DOT)
• Played key role in securing multi-million dollar Texas DOT contract (SIMPL tolling system)
• Increased LiDAR resolution 1.6MP → 2.3MP via software/system optimization without hardware changes
• Designed SDLC integration framework enabling compatibility with US traffic controller infrastructure

• Developed and maintained software for semiconductor test systems
• Led system validation, debugging, and hardware/software integration

Led development of precision semiconductor probing systems used by leading technology companies including Intel, AMD, and Apple.

• Architected and delivered multi-threaded control systems integrating vision systems and hardware interfaces
• Improved system accuracy to ±2 µm, enabling high-precision semiconductor testing
• Designed and implemented data management and analytics features for system performance optimization
• Led global customer training and deployment support across US, Europe, and Asia
• Directed cross-functional teams spanning software, hardware, and field engineering