Carol Mak
AI Engineer at IBM
Hong Kong, China
Summary
👤
Senior🎓
Top SchoolCarol Mak is an AI engineer with eight years of experience bridging rigorous academic research and production-grade AI at companies like IBM and Luminance after completing a DPhil in Computer Science at Oxford. Her expertise spans probabilistic programming, Bayesian methods, MCMC, and modern generative models (LLMs and diffusion models), with a particular focus on decoding strategies and scalable deployment. She has a proven track record of translating mathematical ideas into practical tools—from implementing iMCMC in the Turing probabilistic programming language to building data-driven solutions in industry. Based in Hong Kong, Carol targets AI solutions that align with local business needs while retaining global research standards. Colleagues value her ability to teach complex concepts clearly (tutoring Lambda calculus and Bayesian probabilistic programming) and to navigate both research and engineering domains. Unusually for an industry engineer, she maintains deep ties to probabilistic programming research, enabling principled approaches to inference in applied systems.
8 years of coding experience
3 years of employment as a software developer
DPhil Computer Science, DPhil Computer Science at University of OxfordGCE A levels, GCE A levels at St Mary's School, CalneHKCEE, HKCEE at Maryknoll Convent School
English, Chinese, ChineseProgramming languages (3)
Github contributions (5)
cmaarkol/InvolutiveMCMC.jl
Jul 2021 - Sep 2021
Contributions:31 commits, 3 PRs, 27 pushes in 2 months
cmaarkol/ToolAlpaca
Feb 2024 - Apr 2024
ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
Contributions:3 pushes, 2 branches in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.