Chris Kedzie
Research Scientist at Scaled Cognition
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Kedzie is a research scientist with 13 years of experience building conversational AI and applied machine learning systems, currently at Scaled Cognition after research roles at Microsoft and Rasa. He holds advanced degrees from Columbia University (including a PhD) and has moved research into production-quality code, notably improving testing and evaluation in the popular open-source Rasa conversational framework. At Microsoft Semantic Machines he advanced dialogue modeling and at Rasa he worked on core NLU and policy evaluation, blending rigorous experimentation with engineering discipline. His background spans academia (DARPA-funded QA work) and industry, giving him a strong foundation in both theory and deployable systems. Unusually, his early career in audio production and music informs a practical, detail-oriented approach to signal and dialogue problems. Chris combines deep research credentials with hands-on back-end and QA contributions that make models reliable in real-world conversational products.
12 years of coding experience
15 years of employment as a software developer
Continuing and Professional Studies Java and Oracle Development, Continuing and Professional Studies Java and Oracle Development at Baruch CollegeDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Columbia UniversityB.A. Music; Recording Arts, B.A. Music; Recording Arts at Loyola Marymount University
English
Stackoverflow
93reputation
9kreached
1answer
1question
Github Skills (11)
unit-testing10
machine-learning10
rasa10
python10
nlp8
test-automation8
data-analysis8
github7
testing7
pandas6
ragel6
Programming languages (3)
Github contributions (5)
RasaHQ/rasa
Feb 2021 - Jan 2022
💬 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:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:189 reviews, 243 commits, 28 PRs in 11 months
Contributions summary:Chris focused on improving the testing of the Rasa Core library, particularly in the `rasa/core/test.py` file. They fixed core metric logging, modified the `_log_evaluation_table` method, and incorporated `sklearn.metrics.accuracy_score` for accuracy calculations. The user also added tests for file writing in policy results and worked on improving the functionality of `IntentMaxHistoryTrackerFeaturizer`.
nlupythonbotspeech-recognitionbotkit
kedz/cv
Jun 2015 - Feb 2025
Contributions:17 pushes in 9 years 9 months
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