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Co-founder and Director, Applied AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I enjoy applied machine learning and am particularly interested in ML applications related to interactive information retrieval, Bayesian optimization, and robotics. More generally, I'm interested in the principled design, implementation, evaluation and optimization of machine learning systems. Previously, I obtained my Master's in computer science where I worked in the Laboratory for Computational Intelligence at UBC.
Y Combinator
W2021
January 1, 2021 – January 1, 2021
The University of British Columbia
Master's of Science, Computer Science
January 1, 2011 – January 1, 2013
University of Waterloo
Bachelor's of Software Engineering
January 1, 2006 – January 1, 2011
Distributional
Co-founder and Director, Applied AI
November 1, 2023 – Present
Toronto, Ontario, Canada
SBX Robotics
Co-founder and CEO
March 1, 2020 – December 1, 2023
Toronto, Ontario, Canada
Kindred.ai
Senior Machine Learning Researcher
April 1, 2018 – March 1, 2020
Toronto, Canada Area
Uber Advanced Technologies Group
Machine Learning Engineer
January 1, 2017 – April 1, 2018
Greater Pittsburgh Region
SigOpt
Research Engineer
July 1, 2015 – November 1, 2016
San Francisco
Yelp
Search and Data Mining Engineer
March 1, 2014 – July 1, 2015
San Francisco
EPFL (École polytechnique fédérale de Lausanne)
Research Intern
May 1, 2011 – August 1, 2011
Lausanne, Vaud, Switzerland
The Hospital for Sick Children
Research Intern
September 1, 2010 – December 1, 2010
Greater Toronto Area, Canada
Microsoft
Software Development Engineer Intern
January 1, 2010 – April 1, 2010
Redmond, Washington
Altera
Software Engineering Intern
January 1, 2008 – January 1, 2008
Greater Toronto Area, Canada
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards innovation, research, and startup environments, particularly in AI/ML. While the target role is 'Data Analyst', their experience is heavily skewed towards Machine Learning Engineering and Applied AI. This might indicate a potential mismatch if the Data Analyst role is purely focused on traditional business intelligence and reporting, rather than advanced analytical modeling or AI-driven insights. The breadth of experience across different industries (robotics, autonomous vehicles, optimization, search) suggests adaptability, but the depth is consistently in ML/AI, which may not align perfectly with a standard Data Analyst profile.
Soft Skills & Operational Fit
The candidate's entrepreneurial background suggests strong leadership, initiative, and problem-solving skills. Experience in various companies, including startups and larger tech firms, indicates adaptability and a collaborative mindset. The descriptions highlight leading teams and projects, which points to good operational fit for roles requiring autonomy and strategic input.