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Software Developer
Julien Grenier is a Software Developer at TCC. He was previously working at AdGear/SamsungAds. He was a Principal AI Developer at Intact Financial Corporation in the past. He also worked as a Senior NLU Researcher at Nuance Communications. He was previously part of matchFWD. Julien helped build matchFWD from the ground up and took part in every aspect of the technical development. Prior to matchFWD, Julien worked as Software Team Leader at Lipso Systems where he successfully launched projects using text-messaging (SMS/MMS) technologies. Before Lipso, Julien was a Java Software Developer at Expertus Technologies, a global leader in payment solutions. Julien started his career as a software developer at Pratt & Whitney Canada writing data acquisition software for the engine maintenance system. He holds a B.Sc. (Computer Science) from Sherbrooke University. He is also well-aware of the awkwardness of writing his bio in third person narrative form.
Université de Sherbrooke
Bacc, Computer Science
January 1, 2000 – January 1, 2003
Trans-Canada Capital
Senior Developer, Quantitative Research
February 1, 2022 – Present
Montreal, Quebec, Canada · On-site
Samsung Ads
AI Software Developer
November 1, 2019 – February 1, 2022
Greater Montreal Metropolitan Area
Intact
AI Software Developer
July 1, 2017 – November 1, 2019
Greater Montreal Metropolitan Area
Nuance Communications
Senior Natural Language Understanding Researcher
February 1, 2013 – July 1, 2017
Greater Montreal Metropolitan Area
QMining
Lead software developer (contract)
December 1, 2012 – February 1, 2013
Greater Montreal Metropolitan Area
Matchfwd.com
Software developer
November 1, 2010 – December 1, 2012
LIPSO
Team Lead
August 1, 2009 – October 1, 2010
LIPSO
Software Developer
December 1, 2008 – October 1, 2009
Expertus Technologies
Java Developer
October 1, 2005 – December 1, 2008
Pratt & Whitney
Software Developer
January 1, 2004 – October 1, 2005
Pratt & Whitney
Developer
January 1, 2004 – January 1, 2005
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Gamification
Coursera
June 24, 2026 – Present
Malicious Software and its Underground Economy: Two Sides to Every Story
Coursera
June 24, 2026 – Present
Model Thinking
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Model Context Protocol: Advanced Topics
Anthropic
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
Usable Security
Coursera Course Certificates
June 24, 2026 – Present
Hardware Security
Coursera Course Certificates
June 24, 2026 – Present
Software Security
Coursera Course Certificates
June 24, 2026 – Present
Data Science Specialization
Coursera Course Certificates
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Building with the Claude API
Anthropic
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning various companies and roles, from software development to AI/ML and quantitative research. However, the target role is 'Frontend Developer', which is not strongly aligned with the candidate's recent experience in AI/ML, quantitative research, or the limited frontend-specific skills mentioned. This suggests a potential mismatch in cultural fit for a dedicated frontend role, although adaptability is possible given the breadth of experience.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving team leadership and building products from the ground up, suggesting strong initiative and operational capabilities. However, specific soft skills like collaboration style or stress handling cannot be assessed without psychometric test results or interview data.