Jean-Mathieu Deschênes Email & Phone Number

Ottawa, Ontario, Canada

– Led the development of a multi-tenant web platform product from the ground up, whichallowed the company to get its first $1,000,000 of revenue in a year and attained $150,000 ofrecurring revenue– Created a development plan and architecture to evolve the platform capabilities, ensuringscalability for future use cases and aligned priorities with stakeholders on a regular basis– Estimated and planned work on a weekly and quarterly basis to ensure optimal resourceutilisation– Managed the full lifecycle from design to production deployment, breaking down high-levelrequirements into detailed tasks, resulting in faster time-to-market for key product features– Implemented secure development practices, including coding standards, code reviews, staticanalysis, and penetration testing, which reduced production issues by 30%– Designed and Implemented CI/CD processes and created the testing infrastructure to allowregular release cycle performed within 15 minutes while maintaining high code qualitystandards– Integrated observability tools and methodologies, to detect issues within minutes andenhanced system reliability– Recruited, led, mentored and organized 3 cross-functional teams of software engineers anddesigners across Canada and France

Montreal, Canada Area

- Selected as part of a team of 5 employees to kick start the launch of the Digital Accelerator and its practices– Improved the data analysis pipeline for pilot training maneuvers by cutting the processingtime by 95%, leveraging Spark and Python libraries such as pandas– Created a Python library to interface with Azure Data Lake Storage Gen 2, to allow rapiddata pipeline creation– Created the company’s first CI/CD pipelines for data engineering in Azure DevOps– Collaborated with Data Scientists to create and deploy machine learning models for trainingevent detection, classification and grading of pilot performances– Collaborated on the design and implementation of the company’s big data architecture toingest data at scale– Recruited a nascent data engineering team of 4

Montreal, Canada Area

– Designed and developed a Python web application for distributed ingestion and processing offlight test data and metadata, improving the model creation speed by 50%– Reversed engineered and developed a C++ library to read & write the company’s standardbinary data formats, providing a 40% speed improvement and error diagnostic messages– Designed a Python/Rust connector facilitating coordinated parallel simulations for modeloptimization, which achieved significant time savings and reduced engineering effort byhundreds of hours– Successfully migrated a 100k+ line-of-code codebase to Python 3, integrating C++ libraries,within a few days

Greater Montreal Metropolitan Area

– Supervised a team of 4 junior engineers in developing the Electronic Engine Control SystemVerification Test Plan used in engine certification– Initiated, developed and maintained a dynamic data analysis and visualization tool in Python,that was subsequently integrated into the company’s standard toolchain increasinge datareview productivity by 50%– Self-started a Python web application that became an essential platform used company-widefor every day task tracking and reporting– Reverse-engineered and developed a C library to read & write the company’s proprietarybinary data format, achieving a 90% speed enhancement over the existing reader. Enabledprogrammatic data processing capabilities– Self-started a document generation tool, using LATEX, drastically reducing document creationtime from days to seconds

Certificate, Data Science And Machine Learning

Bachelor’S Degree, Mechanical Engineering