Singapore, Singapore
Zhi Xiang is a Data Scientist with a Master’s in Artificial Intelligence, specializing in statistical modelling, machine learning, and large language models. Leveraging extensive product experience across e-commerce, fintech, and SaaS platforms, he uniquely bridges product strategy and technical execution to translate complex AI capabilities into core features that drive measurable business outcomes and enhance the customer experience, including experience developing and scaling AI applications.
Productized and launched Project Moonshot, the world's first AI safety evaluation tool that incorporates both benchmarking and red-teaming, scaling it to be the de facto harness for WOG AI safety testing and IMDA's industry-facing starter kit
Productized and launched a Banking-as-a-Service platform that digitalizes traditional banking services and workflows, enabling one of the largest e-commerce platform in SEA to provide digital financial services to millions of consumers.
Collaborated with data science team to direct feature engineering and A/B testing to productize a customer segmentation model for a seller marketing tool, helping sellers achieve 20% GMV growth, leading to 15% YoY growth in Shopee's key revenue metrics.
Scaled a cloud-based analytics & reporting platform from 0 to 1 within a year, achieving 85% WAU from across SG, MY, and HK, reducing user's analysis & reporting time by 80%. Also won the Startup Disruptor Arena in 2018.