Wesley Goi is a Senior Data Scientist based in Singapore with 11 years of experience building production ML systems across e‑commerce, mobility, and consumer goods. He holds a PhD in Computational Biology from NUS and moved from genomics research into pragmatic ML work—specializing in dynamic pricing, recommendation and modelOps for large-scale platforms. Wesley has driven end-to-end MLOps and feature infrastructure at companies like Grab and Liftoff and now sets ML production standards and AI-driven product innovation at Barry Callebaut. He combines hands-on engineering (Kubernetes, Airflow, Terraform, GCP/AWS) with statistical rigor in pricing and propensity models, often automating retraining and drift observability. Notably, he’s transitioned from “data janitor” to “data chef,” shaping repeatable pipelines that turn messy real-world signals into deployable models. His background in metagenomics gives him a distinctive edge in handling noisy, high-dimensional data for robust decision systems.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at National University of Singapore
Contributions:2 PRs, 2 pushes, 2 branches in 5 years 5 months
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