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Principal Research Engineer @ Autodesk
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Department of Computer Science, University of Toronto
Master of Science - MS, Geometry and Machine Learning
January 1, 2019 – March 1, 2021
Queen's University
Bachelor of Applied Science (BASc), Electrical and Electronics Engineering
January 1, 2012 – January 1, 2016
Autodesk
Sr. Principal Machine Learning Developer, Generative AI
August 1, 2025 – Present
Toronto, Ontario, Canada · Hybrid
DraftAid
Founding Engineer
June 1, 2024 – July 1, 2025
Toronto, Ontario, Canada
Monsters Aliens Robots Zombies
Research Team Lead
December 1, 2022 – June 1, 2024
Toronto, Ontario, Canada
Monsters Aliens Robots Zombies
Machine Learning Researcher
February 1, 2022 – December 1, 2023
Toronto, Ontario, Canada
Autodesk
Machine Learning Engineer - Tech Lead
September 1, 2018 – January 1, 2022
Autodesk
Machine Learning Research Developer
September 1, 2016 – September 1, 2018
Queen's Space Engineering Team
Chief of Engineering & VP of Operations
September 1, 2015 – September 1, 2016
Kingston, Ontario
Autodesk
Electrical Engineer - Connected Products
May 1, 2015 – April 1, 2016
1 Market Street, San Francisco
Queen's University
Teaching Assistant Second Year Electric Circuits (ELEC 221)
September 1, 2014 – December 1, 2015
Autodesk
Sustainability Intern
May 1, 2014 – September 1, 2014
Toronto, Canada Area
Camp Robin Hood
Unit Lead
June 1, 2010 – September 1, 2013
Markham, Ontario
Sensors And Actuators Final Project - InformaBox
November 1, 2014 – Present
Designed a home security and environment monitoring system. In regular operation the system monitored the environment by logging temperature, humidity and pressure and sending an update email with plotted data to a user on a specified time interval. The data is logged onto a PC and parsed using python then formatted into a graphical plot and emailed to the user. The setup also has various security features to detect if a person is present, once armed an alarm will sound if, motion is detected, a trip wire is activated, or a window/door is opened(magnetic reed switch). The assailant must then disable the alarm by entering a combination via push buttons. An "Urgent" email is sent to the user when an alarm is activated, the user is then updated when the alarm is deactivated.
Mars, Rover Challenge 2015
May 1, 2014 – May 1, 2015
We are designed and built a Mars rover from the ground up for the 2015 University Rover Challenge at the Mars Desert Research Station in southern Utah. The rover must be capable of completing several challenges including: terrain traversing, sample retrieval, astronaut assistance, and equipment servicing.
Mars Rover, University Rover Challenge 2014
September 1, 2013 – Present
We are designing and building a mars rover for the 2014 University Rover Challenge at the Mars Desert Research Station in southern Utah. The rover must be capable of completing several challenges including: terrain traversing, sample retrieval, astronaut assistance, and equipment servicing.
Beer Keg Transportation System
January 1, 2013 – April 1, 2013
• Designed, prototyped, and delivered a mechanical solution to safely transport beer kegs both up and down the fire-exit stairs of Clark Hall Pub (Kingston, ON). • Consulted with client throughout project. • Presented interim and final design proposals to manager of Clark Hall Pub, client representative, project manager, faculty advisor, and other student teams.
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and AI, with significant experience at Autodesk and Monsters Aliens Robots Zombies. While the target role is 'Data Analyst', the candidate's background is heavily skewed towards advanced ML research and engineering, which is a significant mismatch. Their projects, particularly the Mars Rover challenges and the home security system, demonstrate initiative and practical application, but are not directly aligned with typical data analyst responsibilities. The breadth of skills is strong in ML/AI but lacks explicit data analysis tools and methodologies often expected for a Data Analyst role. This indicates a poor cultural fit for a pure Data Analyst position, though they would be an excellent fit for a Machine Learning Engineer or Research Scientist role.
Soft Skills & Operational Fit
The candidate's experience as a Research Team Lead, Engineering Team Lead, and Chief of Engineering & VP of Operations suggests strong leadership, project management, and team collaboration skills. Their involvement in social teams and management teams at Autodesk also indicates good interpersonal and organizational abilities. The project descriptions, while not explicitly detailing soft skills, imply problem-solving and client consultation.