A graph-based framework for quickly building agentic workflows and automation pipelines

A high-performance NodeJS server implementation for the Open Source Routing Machine (OSRM) backend

A lightweight tool designed to help amateur part-time traders to get timely information for low-frequency options trading

Shopee • Technical Leader

Led development of address point-of-interest (POI) services including autocomplete search, address standardization, geocoding, and division autocomplete. Improved query processing with NLP techniques, boosting recall ratio from 62% to 77%.

Shopee • Project Owner & Core Developer

Developed and improved routing service infrastructure, improving API robustness and capacity by 200-400%. Improved ETA accuracy by 35-50% using GPS data and ML models, saving 51K USD daily in operational costs.

Shopee • Project Owner

Led GPS trajectory data mining project, developing clustering algorithms and analytical applications for business insights. Implemented TS-DBSCAN and density peak clustering for arrival time analysis.

Shopee • Project Owner

Developed optimization algorithms for food/parcel delivery stack assignment and order grouping, reducing daily operational costs by 30% in selected countries.

Envision Digital • Core Developer

Developed optimization engine for power grid energy management, supporting $11M grand call and vehicle-to-grid applications in Europe. Implemented MIP models and RESTful API services.

Nanyang Technological University • Researcher

Developed a scale-down DESS scheme in HDB blocks for intermittency management and frequency support, and integrated latest control algorithms, including ramp-rate based, frequency and SoC regulation to hierarchical controllers.

Nanyang Technological University • Researcher

Developed a triple-layer distributed optimization framework for microgrid clusters, to effectively reduce the operational cost and address robust operations against volatile uncertainties by 10% on average.

Nanyang Technological University • Researcher

Proposed a temporal decentralized algorithm for the optimal stochastic energy scheduling. Achieved the fast convergence of the proposed algorithm advantages on optimal results and computation time.

Nanyang Technological University • PhD Researcher

Distributed and robust optimization for energy scheduling in the regional multi-microgrid community. Focused on stochastic/robust/dynamic optimal power flow (OPF) under uncertainties of loads and renewables including energy storages, and energy management system with parameterized degradation costs.