Clinton Leung

Background

About Clinton Leung

Data scientist/ML engineer specializing in ML Ops and bringing data science models to scale and production. Perfect interface between data science and engineering teams because of my keen eye for software engineering and clean coding alongside my deep data science and statistical training. Recently- Built an entire ML Ops framework from the ground up, integrating multiple technologies to bring prototypes to production for a first to market SaaS offering at Patra Corporation- Developed and deployed a novel graph neural network for time series forecasting within PepsiCo’s CI/CD pipeline - Developed and pioneered the novel use of various uncertainty aware neural networks for use in SecondMind’s open-source Bayesian optimization package Trieste - MSc in Data Science Methodology at Barcelona School of Economics Specialties: ML Ops, Deep Learning (TensorFlow and PyTorch), Bayesian modelling, optimization, Python, R, Gurobi Like to: Prioritize doing things right the first time so that we become more efficient and productively, and make significant impacts and accomplishments in short amounts of time because I am a fast self-learner and critical problem solver. Passionate about: Learning, science and engineering, languages (learning my 5th!), rock climbing, the environment, musicals instruments (learning my 4th!), math Find out more about my work and experience at: