Adam Lopez
Reader (Associate Professor)
City of Edinburgh, Scotland, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAdam Lopez is a Reader (Associate Professor) in NLP with nearly two decades of cross-sector experience translating state-of-the-art research into practical systems and teams. He has led AI strategy and engineering at fast-growing Rasa—shaping their open-source conversational AI product and CI-linked ML evaluation pipelines—while also publishing at top venues (ACL/EMNLP/NAACL) and winning competitive industry funding. A seasoned mentor and educator, he redesigned advanced NLP curricula, co-directed a £6.8M CDT that achieved gender-balanced cohorts, and has advised multiple PhD graduates who now sit in major AI labs. Comfortable moving between theory and production, he quickly ramps small teams to deliver measurable results and communicates complex ideas to diverse audiences through teaching and public outreach.
17 years of coding experience
4 years of employment as a software developer
B.S., computer science, B.S., computer science at Duke UniversityPh.D., computer science, Ph.D., computer science at University of Maryland
Spanish
Github Skills (10)
nlu10
rasa10
pytest10
python10
testing10
natural-language-processing9
bots8
bot-framework8
googlebot8
machine-learning7
Programming languages (6)
Github contributions (5)
RasaHQ/rasa
Oct 2020 - Nov 2020
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 reviews, 8 commits, 5 PRs in 21 days
Contributions summary:Adam focused on testing and validating the functionality of the Rasa framework, specifically the NLU component. Their commits primarily involved modifications to the `test_training_data.py` file, suggesting they were responsible for adding, modifying, or maintaining automated tests to ensure the accuracy of the training data splitting process. The changes cover test cases for splitting data, verifying the correct number of examples in the training and test sets, and ensuring that all intent and response classes are present in both splits.
nlupythonbotspeech-recognitionbotkit
alopez/nlu-class
Jan 2018 - Jan 2019
Contributions:49 commits, 29 pushes, 1 branch in 1 year
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