National University of Singapore
2025 - 2026
Master of Technology in Artificial Intelligence Systems
AI and software engineering professional with expertise in generative AI, LLMs, and high-performance systems, backed by academic research and industry experience at Huawei and TapTap.
Generative Recommendation Algorithm Intern
Singapore
Sep 2025 - Dec 2025
huawei technologies co., ltd.·Intern
Conducted research on generative recommendation algorithms to enhance business metrics such as CTR and CVR. Implemented RQ-VAE, OPQ, and RQ-KMeans to quantize continuous embeddings into hierarchical token sequences, boosting retrieval performance by 3.2% on the Kuairand dataset through OPQ optimization.
AI Search Agent & Backend Development Intern
Shanghai
Mar 2025 - Jul 2025
taptap (xd inc.)·Intern
Developed a modular RAG service for TapTap’s AI chatbot, enabling real-time embedding index updates and context retrieval to improve semantic understanding and answer accuracy on long-tail player queries. Enhanced retrieval precision, reducing bad cases by 17% and boosting coverage by 10%. Also improved the search suggestion service by implementing a Trie-based prefix recall structure and dynamic programming-driven reranking, reducing P99 latency by 16% and increasing PV-CTR by 6.42% under high concurrency.
Software Development Engineer (C/C++)
Shenzhen
Jul 2024 - Dec 2024
huawei technologies co., ltd.·Intern
Collaborated on developing a high-concurrency, high-availability RPC communication component for Huawei GaussDB kernel modules. Designed a cross-cluster forwarding node resource pool with dynamic registration and real-time health monitoring, coupled with a failover polling retry mechanism, increasing inter-cluster message delivery success rate by 8%. Achieved top scores on Huawei Professional C++ Coding Certification.
Electric Vehicle Integration Engineer (Python/Matlab)
Shenzhen
Aug 2023 - Jul 2024
byd auto industry co., ltd.·Intern
Developed automated toolchains for integration testing and data visualization, and built early-stage vehicle simulation models to support cross-subsystem collaboration. Played a key role in the BYD e7 integration project from prototype to SOP, resolving 60+ cross-system performance mismatches through co-developed automation tools and data-driven dashboards for systemic analysis and resolution.