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AI Programmer

D24H

Developed and deployed advanced deep learning and data engineering solutions at scale for biological data.

• Developed advanced sequence embedding models with Transformers, triplet/ladder loss, and binarization techniques.
• Optimized models with C++ modules (Pybind11) and distributed training (DDP).
• Built a semantic search platform for 30M+ NCBI SRA records using PostgreSQL, pgVector, and custom embeddings.
• LLM-driven data cleaning and text-to-SQL workflow improvements.
• Implemented distributed model inference pipelines using Hadoop, Spark, and HDFS for >2TB vector data.
• Enabled rapid retrieval with FAISS and advanced data structures (Binary Relation Wavelet Tree, SDSL).
• Used RocksDB and PostgreSQL for scalable, high-performance data management.
• Extended C++ library functions and independently configured/build the codebase.
• Designed and deployed interactive data visualization dashboards with Vue.js, TailwindCSS, Chart.js, and Plotly.js.

AI Engineer (Intern)

InnoBlock Technology Limited

Worked on computer vision and security monitoring systems for government agencies.

• Fine-tuned custom object detection models using YOLO.
• Designed real-time person tracking algorithms across camera streams.
• Integrated facial recognition, object detection, and tracking into a data security monitoring platform.

BEng

The Chinese University of Hong Kong

Artificial Intelligence: Systems & Technologies

Faculty of Engineering Admission Scholarship

The Chinese University of Hong Kong

Shaw College GE Scholarship

Shaw College, CUHK