Summary
Martin Petitclerc is a seasoned software architect and data scientist with over two decades of experience building high-performance BI and AI systems, currently contributing as a Member at Anges Québec and a Data Scientist at Coveo. He led architecture for IBM Watson Analytics’ embedded cognitive features—NLP, ontology-driven modeling and recommenders—and drove a 47x speedup in data access to meet tight interactive SLAs. Martin specializes in complex distributed development across global teams, large codebases and heterogeneous data stores, with deep hands-on expertise in query planners, execution engines, OLAP/cube architectures and semantic layers. He blends research and product delivery, holding several patents and leading university collaborations on ML-driven recommenders and data cleansing. Fluent in French and English, he pairs strong presentation and leadership skills with practical coding across Java/Scala/C++/Python and modern data stacks like Spark, Hadoop and Kafka. A pragmatic innovator, he repeatedly rescues stalled projects by re-scoping technical strategies and turning prototypes into market-winning platforms.
10 years of coding experience
19 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Université Laval
English, French