Summary
Leah Wang is a Technical Lead and Lead Data Scientist with eight years of experience building enterprise AI and ML solutions at IBM, following internships at Apple and a capstone with JPMorgan. She specializes in taking deep learning prototypes into production at scale, blending research-forward modeling with pragmatic engineering and data infrastructure. Based in New York, she’s known for shepherding cross-functional teams through model development, deployment, and monitoring across regulated and enterprise environments. Leah’s background in financial computing and an MS in Data Science from NYU give her a strong grounding in quantitative rigor and production-grade systems. A self-described machine learning and deep learning fangirl, she pairs genuine enthusiasm for new architectures with disciplined operational practices. Less obvious: she has early experience as a data engineer in insurance, which informs her pragmatic approach to data quality and pipeline resilience.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Financial Computing with honors, Bachelor of Science - BS Financial Computing with honors at University of Liverpool
Master of Science - MS Data Science, Master of Science - MS Data Science at New York University
Chinese, English, Korean