• Architected a meta-prompting self-improvement engine that turns failure patterns into automated remediation, reducing manual diagnostics and resolution effort by ~85%.
• Shipped a fault-tolerant Natural-Language-to-Python platform spanning 2,000+ user intents, architecting a multi-stage system of semantic clustering, tool generation, and sandboxed code synthesis.
• Achieved ~95% tool-calling accuracy on held-out multi-step agentic workflows by developing a rigorous evaluation harness with zero-shot testing, adversarial perturbations, and argument fuzzing.
• Built a unified evaluation framework with dataset versioning and a metric registry to consolidate disparate data stacks, enabling reproducible, traceable comparisons across all models and agents.

• Improved tool retrieval and query-to-program quality (+10% recall, -30% hallucinations) through RAG, LoRA/SFT on large models, prompt optimization, and user-simulation evals.
• Pioneered a device-state-driven modeling approach for on-device intelligence, improving accuracy over noisy signals.
• Increased OS update success rate by +25% by developing time-series forecasting models to smooth peak server loads and reduce resource contention failures.
• Co-inventor on three U.S. patents covering sensor-driven display power control and predictive energy management used to ship Always-On Display on iPhone 14 Pro.

• Built on-device charging models using device-state signals (e.g., usage windows, SoC trajectory) to schedule charge phases under strict privacy constraints.
• Reduced high-SoC dwell and heat exposure during overnight charging while meeting readiness targets; improved battery-health outcomes without cloud data.
• Enhanced background scheduling to enable Apple ProRes video on iPhone 13 Pro/Max within power & thermal budgets.

• Unity editor tools and real-time inspectors; ~3x designer workflow speed-up; shipped to titles serving 2M+ DAU.

• Spring Boot/Node.js monitoring for millions of instruments; Oracle SQL optimized ~120s → ~3s; led a 6-person LSTM prototype for predictive monitoring.

Patents

• U.S. Patent No. 12,141,012 - Energy saving for battery powered devices (2024)
• US20240077929A1 - Sensor-based display power control systems and methods (2024)
• US20240077930A1 - Predictive display power control systems and methods (2024)

Academic Honors

• Dean's Honors List, The University of Hong Kong (2015-2019)
• CLP "Powering a Sustainable Generation" Scholarship (2017)
• Zhiyuan Scholarship (Soong Ching Ling Foundation) (2015)