Adam Birdsall is a Principal Data Scientist with 11 years of experience building data-driven products from research prototypes to production at Goodyear, combining deep scientific training with practical ML and engineering chops. He holds a PhD in atmospheric chemistry from Harvard and has a track record of publishing scientific Python packages and automating large experimental data pipelines, demonstrating an ability to turn complex domain science into reliable software. His technical breadth spans Python-based ML and NLP, big-data tooling (Dask/PySpark), deployment (Kubernetes, Terraform, AWS), and engineering best practices (FastAPI, Pytest, CI/CD). A strong communicator and technical mentor, he excels at stakeholder-driven roadmap development and translating technical insights for nontechnical audiences. Beyond industry work, he built data products like PastPath—an NLP-driven personalized historic-tour app—showing curiosity for applied, user-focused solutions.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS Chemistry, Master of Science - MS Chemistry at University of Wisconsin-Madison
Doctor of Philosophy - PhD Chemistry, Doctor of Philosophy - PhD Chemistry at Harvard University
Bachelor of Arts - BA Chemistry, Bachelor of Arts - BA Chemistry at Oberlin College
web app providing custom historic marker walking tours using NLP
Contributions:62 commits, 10 PRs, 37 pushes in 2 years 2 months
nlppythonmarkertourswalking
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