Designed and developed distributed real-time applications for Google X’s autonomous drone delivery initiative, advancing next-generation aviation systems with safety validated via automated end-to-end testing pipelines

Engineered C++/Scaffolding backend services using Protocol Buffers and S2 Geometry Library

Migrated geospatial data to Google Cloud Spanner and visualized historical fleet records using an analytical query engine on Alphabet infrastructure, enabling metric monitoring and alerting across critical systems

Built configuration tools and operator interfaces on Google Maps for annotating and enforcing 4D (3D + time) airspace restrictions, ensuring flight safety and regulatory compliance

Replaced legacy authentication modules with role-based configurations and low-latency permission checks optimized for critical operations, including pilot-initiated emergency landing commands

Led development of LLM/VLA-powered multi-drone coordination systems supporting natural language control, intuitive AI-human-robot interaction, 3D simulation for flexible task execution and rapid scenario generation

Led end-to-end development of AI-assisted annotation tools for multi-modal data (React/Three.js frontend and Flask/Spring backend), from prototype to production

Extended point cloud cuboid annotation to semantics segmentation as a side project, later adopted as a new product used by 20+ leading clients in autonomous vehicles and robotics sectors

Developed a localized platform for the Chinese market as the founding engineer at Appen China

Explored point cloud object detection/tracking to enhance labelling efficiency using open-source projects

Conducted sensor fusion experiments using NumPy to project 3D LiDAR points into 2D camera views based on calibration parameters (e.g., position, rotation, focal length) from client devices

Implemented event loggers, collaborating with UX designers and data scientists to analyze annotator behavior for training process and tools improvement, resulting in a 56% labelling costs

Built full-stack ERP solutions with Vue.js frontend and Spring/Hibernate backend

Explored transformer-based chatbot and LSTM-based OCR (Tesseract) for workflows automation

Researched conversational agents for Chinese short text and maintained large Weibo post–comment dataset

Implemented Seq2Seq with attention in PyTorch and applied reinforcement learning from human feedback (RLHF) using comment appropriateness scores as rewards