Dana Sheahen
Program Manager, Technical - Deep Learning Institute at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolDana Sheahen is a technical program manager with 10+ years in AI and deep learning education, currently leading developer-facing projects at NVIDIA’s Deep Learning Institute. She blends hands-on machine learning work—from improving an ASL recognizer and integrating language models—to curriculum design for autonomous robotics and Jetson-based labs. Her background spans academia and industry, having built auto-graders and taught graduate CS courses at Georgia Tech, led Udacity’s robotics curriculum, and delivered cloud-backend tooling for course infrastructure. Earlier engineering roles in embedded systems and diagnostics give her a rare combination of low-level firmware experience and modern ML pedagogy. Based in California, she translates complex research into practical, project-based learning that helps engineers ship autonomous systems.
10 years of coding experience
26 years of employment as a software developer
Bachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Rice UniversityMaster’s Degree, Computer Science - Interactive Intelligence, Master’s Degree, Computer Science - Interactive Intelligence at Georgia Institute of Technology
English
Github Skills (11)
machine-learning10
jupyter-notebook10
python10
hmmlearn9
pandas9
feature-selection8
multiple-selection8
variable-selection8
natural-language-processing7
computer-vision7
nlp7
Programming languages (6)
Github contributions (5)
udacity/AIND-Recognizer
Feb 2017 - Jun 2017
Role in this project:
ML Engineer
ML EngineerContributions:39 commits, 9 PRs, 17 pushes in 4 months
Contributions summary:Dana primarily contributes to the development and improvement of an American Sign Language (ASL) recognizer. Their work includes adding and modifying features within an existing Jupyter Notebook environment for the project. This involved the integration of Language Models to improve the Word Error Rate (WER) of the recognizer. They also made code corrections, typo fixes, and refactored code to improve functionality.
danainschool/moss-taps
Oct 2015 - Jul 2016
Contributions:1 release, 47 commits, 15 pushes in 9 months
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