Maxime Leclerc
Data Science and Ai @Umaneo
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WORK HISTORY
Data Science and Ai @Umaneo
Contributed to raise 2 million dollars in research grants- Developed a deep learning time series solution to predict the time to failure of aluminum processing equipment- Developed a generative-AI powered search platform to explore millions of legal documents. The system translates plain-language questions into optimized search expressions and uses transformer-based re-ranking- Created an intelligent after-sales support system using generative models, which significantly reduced the time to resolve support tickets by automatically retrieving relevant technical documentation- Developed an AI to accelerate the extraction of critical RFP information, aiding in faster qualification and automating sections of RFP response writing- Designed and developed several AI hybrid search modules to rank documents and extract document information. Used embeddings, keywords, and semantic ranking- Completed scientific literature reviews, designed research methods, and discussed research results- Published scientific reports and presented scientific results- Wrote unit, integration, acceptance, and performance tests- Produced technical documentation.
EDUCATION
Concordia University
Master's degree, Finance
Université Laval
Bachelor of Science - BS, Computer Science, Data Science
Université Laval
Master of Science - MS, Data Science
SKILLS
ABOUT MAXIME LECLERC
SUMMARYMaxime has accumulated 25 years of experience as a senior scientist and engineer in Data Science and AI. During his jobs at Umaneo, Laval University, Thales, Udacity, Microsoft, and Bloomberg, he had the privilege of putting his expertise into practice as a scientist and engineer for several Research and Development projects. His expertise spans Generative Models, Time Series, Deep Learning, and Signal Processing. These jobs allowed him to participate in the writing of 10 scientific publications. Moreover, he was a project manager and senior software engineer in several companies. These functions enabled him to manage a 750-person-day project involving 7 software engineers. He also managed the full software engineer lifecycle for mission-critical services and high-volume databases. Finally, he had the opportunity to work closely with multidisciplinary teams and numerous clients- Qualities: Enthusiastic, responsible, disciplined, ordered, proactive, inventive, versatile- Strengths: Leading projects, working with a team, managing priorities, communicating effectively, proposing and validating solutions, interacting with customers, analyzing and solving problems as well as keeping my skills up to date.
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