Summary
Allen Shi is an AI Engineer with eight years of experience blending auditing, data science, and machine learning across digital currency and finance sectors. He moved from hands-on audit work—where he automated blockchain transaction queries and built GUIs to retrieve audit evidence—to data science roles at Lazard and now AI engineering at Point72, applying rigorous risk-aware thinking to model development. Currently pursuing an MS in Data Science at Columbia (and later MS CS at Georgia Tech), he focuses on NLP, computer vision, privacy-preserving blockchain techniques, and ML for finance. Known for translating complex regulatory and accounting requirements into reproducible data pipelines, he brings a rare mix of accounting rigor and engineering pragmatism to production ML systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor's Degree Accounting, Bachelor's Degree Accounting at Penn State University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Master of Science - MS Data Science, Master of Science - MS Data Science at Columbia University