Senior Staff Applied Research Scientist at ServiceNow
Montreal, Quebec, Canada
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Summary
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Orlando Marquez is a Senior Staff Applied Research Scientist based in Montreal with 8+ years blending software engineering and AI research, specializing in NLP and computational linguistics. He earned a Master’s in Computer Science from Université de Montréal affiliated with MILA and a Software Engineering degree with distinction from University of Waterloo, bringing both rigorous research training and pragmatic engineering experience. At ServiceNow he led the applied science and architecture for GenAI Flow Generation (text2flow), coordinating cross-functional teams to productionize robust, retrieval-augmented and sample-efficient LLM features for enterprise workflows. His background spans industry research roles at Element AI and early engineering and systems work across IBM, Deloitte, and public-sector projects, giving him a rare combination of deep model knowledge and production-grade systems delivery. Known for focusing on model robustness and explainability, he also has practical experience fusing linguistic features into time-series and large-scale PySpark pipelines—an indicator of his ability to connect language research to diverse business problems.
8 years of coding experience
12 years of employment as a software developer
Masters of Computer Science, specializing in Artificial Intelligence, Masters of Computer Science, specializing in Artificial Intelligence at Université de Montréal
Bachelor of Software Engineering, with Distinction, Bachelor of Software Engineering, with Distinction at University of Waterloo
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