Jamison Ducey

Designed and developed a pilot training program for the company's agentic software-delivery model. Built an agentic, gated course-production pipeline that cut full-course development from months to weeks.

Built and managed learning paths, courses, labs, exercises, and videos in Python, Machine Learning, Deep Learning, Data Engineering, and Cloud, with Generative AI as a growing share of the portfolio. Wrote articles, facilitated webinars, and appeared in work-related podcasts on current developments in machine learning.

Developed 10+ courses, live and eLearning, in Python, Data Science and Engineering, Cloud Platform Services, Generative AI, and Machine Learning for the JUMPLUS program. Facilitated a three-day workshop, Generative AI in the Workplace, for a Columbia University MBA cohort of 50 to 60 students.

Participated in the JUMP program focusing on Python development with Pandas, NumPy, scikit-learn, and SQL.

Worked in a GxP-regulated laboratory, performing laboratory technologist duties.

Annotated clinical notes used to train a language model that identifies cancer-related information.

Earned four Claude certifications: Architect – Professional, Developer – Foundations, Associate – Foundations, and Architect – Foundations.

Earned the Certified Machine Learning Engineer – Associate certification.

Earned the Certified AI Practitioner – Early Adopter certification.

Completed the Applied Generative AI for Digital Transformation program.

Completed the Python Developer JUMP program covering Pandas, NumPy, scikit-learn, and SQL.

Completed the Deep Learning Specialization.

Double major in Linguistics and Molecular, Cellular, and Developmental Biology.