Gabriel Parent
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineering Consultant
I am a senior Machine Learning specialist with ten years of experience that includes six years building complex ML algorithms as a member of Amazon's retail and music organizations. Since 2018 I have served as an independent consultant, and my expertise includes Speech Processing, Natural Language Processing, Recommendation Systems, and Data Science. My project experience is detailed under GPSE Consulting below. In addition to my professional experience I hold a MS in Language Technology from Carnegie Mellon and a B.Eng. in Computer Engineering from École Polytechnique de Montréal. I have several published papers, was a contributor to the book "Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment" (Wiley, 2013), and I delivered presentations to both internal and external groups while at Amazon. I am also named on two Amazon patents. Recent public speaking includes a presentation on using cloud platforms to build ML systems (NextAI 2020, University of Montréal) and a discussion on what startups need for ML as part of an expert panel at Espace CDPQ in Quebec. Outside of work, I enjoy kite surfing, scuba diving, motorcycles, travel (30+ countries), and music (guitar, diatonic accordion, and killer karaoke).
Carnegie Mellon University
Master of Science - MS, Language Technology
January 1, 2009 – January 1, 2011
Polytechnique Montréal
Bachelor of Engineering, Computer Engineering
January 1, 2005 – January 1, 2009
Cégep de Victoriaville
DEC en sciences de la nature
January 1, 2003 – January 1, 2005
GPSE Consulting
Machine Learning Engineering Consultant
February 1, 2018 – Present
Seattle
Amazon
Machine Learning Engineer II
November 1, 2015 – August 1, 2017
Amazon
Software Engineer II
September 1, 2011 – November 1, 2015
Carnegie Mellon University
Research Assistant
August 1, 2009 – September 1, 2011
Pittsburgh, PA
Polytechnique Montréal
Research assistant
May 1, 2007 – May 1, 2009
Greater Montreal Metropolitan Area
Cascades Inc
IT Technician
May 1, 2004 – September 1, 2005
Kingsey-Falls, Quebec, Canada
Cultural Fit Analysis
The candidate's diverse experience, ranging from research assistant roles to a senior ML engineering consultant and a significant tenure at Amazon, indicates adaptability and a broad understanding of different work environments. Their involvement in organizing Hackdays, delivering internal tech presentations, and publishing academic papers suggests a proactive, collaborative, and knowledge-sharing mindset. The consulting background also implies an ability to work with various stakeholders and drive solutions, aligning well with a dynamic and innovative culture. The focus on ML engineering aligns perfectly with the target role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship abilities through managing SDEs and interns, onboarding engineers, and leading workshops. Their consulting experience highlights problem-solving, client interaction, and strategic thinking. Frequent presentations and publications indicate strong communication and knowledge-sharing skills. The long tenure at Amazon suggests adaptability and growth within a large tech organization.