CV

Machine Learning Engineer

AWS OpenSearch

• Contributed to Neural Sparse ANN search by integrating the SEISMIC algorithm into OpenSearch, achieving sub-3ms retrieval with 17-35x latency reduction and 18x throughput improvement
• Evaluated and benchmarked leading sparse retrieval and ANN algorithms; identified optimal candidates for production deployment
• Executed memory and performance optimizations (LRU caching, document ID reordering, SIMD), reducing memory footprint by 40%
• Contributed to Neural Sparse Embedding model fine-tuning for improved retrieval quality

Machine Learning Engineer Intern

Xiaomi AI Lab

• Developed an intermediate fusion multimodal model for predicting mechanical properties of automotive die-cast components
• Built automated data pipeline; deployed SQL database on Kubernetes for cross-team multimodal data access
• Applied semi-supervised learning to leverage unlabeled data, reducing MAE and MAPE by over 50%

Research Assistant

ROMI Lab, HKPolyU

• Developed a deep neural network (ResNet18 + deconvolution) for organ detection in ultrasound images (80% accuracy)
• Designed robotic arm controller for automated ultrasound scanning with impedance control

Research Assistant

Sharc Lab, Georgia Tech

• Researched Federated Learning algorithms; optimized multi-device learning based on FedAvg
• Applied low-rank compression to reduce communication costs; proposed new client selection mechanism

Cornell University

Master of Engineering in Electrical and Computer Engineering

GPA: 3.85/4.0

The Hong Kong Polytechnic University

Bachelor of Engineering in Electronic and Information Engineering

First-Class Honors

HKSAR Government Scholarship - Reaching Out Award

The HKSAR Government

Awarded for outstanding academic achievement and participation in overseas exchange programs.

Hong Kong, China - APEC Scholarship

The HKSAR Government

Awarded for academic excellence in the Asia-Pacific Economic Cooperation region.