Larry He
ORISE Fellow at Oak Ridge Institute for Science and Education
Lilburn, Georgia, United States
Summary
👤
Senior🎓
Top SchoolLarry He is an ORISE Fellow and data scientist with a decade of experience applying machine learning and NLP to real-world problems, from chatbot defenses against phone scammers to deployable prototypes integrated with telephony systems. He has strong hands-on skills in web scraping, regression modeling, and large language model techniques, paired with solid software engineering practice demonstrated by Python backend contributions to the widely used aima-python repository. An experienced educator and researcher, he has taught SQL and NLP courses and led human-evaluation studies for story generation at Georgia Tech and UNC Chapel Hill. His work blends academic rigor (PhD in Computer Science) with production-minded implementation, including automated graders and cloud-based data pipelines. Based in Lilburn, Georgia, he is particularly adept at turning noisy, large-scale conversational data into actionable models and prototypes.
10 years of coding experience
4 years of employment as a software developer
Parkview High SchoolMaster’s Degree, Computer Science, 3.64, Master’s Degree, Computer Science, 3.64 at Georgia Institute of TechnologyMachine Learning Career Track, Machine Learning Career Track at SpringboardDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
German
Github Skills (6)
algorithms10
information-retrieval10
python10
data-structure9
data-structures9
machine-learning7
Programming languages (5)
Github contributions (5)
aimacode/aima-python
Mar 2016 - Mar 2016
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits in 1 day
Contributions summary:Larry focused on improving the Python implementation of algorithms from "Artificial Intelligence - A Modern Approach." Their contributions involved fixing Python 3 port issues, including replacing deprecated functions and adapting code for compatibility. The user also made modifications to the information retrieval system, specifically updating the query functionality and correcting variable names for consistency. Further improvements were made by fixing comments and correcting several typos.
pythonpython-implementationapproachartificialmachine-learning
larry-he/imgbrd-grabber
Jul 2016 - Aug 2016
Contributions:3 pushes in 24 days
downloaddownloaderimageboardboorucustomizable
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