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AI Product Manager @Modular | Teacher at heart
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of British Columbia
Master's Degree, Computer Science
January 1, 2014 – December 1, 2016
The University of British Columbia
Master's Degree, Mathematics
January 1, 2011 – January 1, 2013
Aryamehr University of Technology
Bachelor's Degree, Mathematics
January 1, 2007 – January 1, 2011
Modular
AI Product Manager
October 1, 2025 – Present
Modular
AI DevRel
February 1, 2024 – October 1, 2025
Puter
Consultant Senior Machine Learning Engineer
April 1, 2023 – December 1, 2023
OctoML
Consultant Senior Machine Learning System Engineer
October 1, 2022 – April 1, 2023
Tigera
Senior Machine Learning Engineer
July 1, 2021 – December 1, 2022
Vancouver, British Columbia, Canada
Amazon Web Services (AWS)
Applied Scientist
January 1, 2020 – August 1, 2021
Vancouver, Canada Area
Huawei Technologies
Machine Learning/Deep Learning Research Engineer
May 1, 2017 – December 1, 2019
Vancouver, Canada Area
News360
Machine Learning Engineer
January 1, 2016 – May 1, 2017
Vancouver, Canada Area
IBM
Machine Learning Intern
May 1, 2015 – August 1, 2015
Vancouver, Canada Area
The University of British Columbia
Research Assistant in Computer Science Department
September 1, 2014 – December 1, 2016
Vancouver, Canada Area
The University of British Columbia
Research Assistant in Mathematics Department
September 1, 2011 – August 1, 2013
Vancouver, BC
Create your own programming language in Rust
July 1, 2020 – December 1, 2025
Free and educational material that goes through explaining and creating multiple compilers and programming languages using Rust. It goes through various stages of basic compiler and runtime system. Check it out: https://createlang.rs
Cultural Fit Analysis
The candidate has a diverse professional background, working in various companies from large corporations (AWS, IBM, Huawei) to startups (OctoML, Tigera, Puter). The personal project in Rust for compiler design shows a strong passion for foundational computer science, which aligns with a culture of innovation and deep technical exploration. However, the career trajectory has been almost exclusively in Machine Learning/AI, which might not be a direct cultural fit for a general 'Backend Engineer' role unless the role has significant ML infrastructure components.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership (Lead MLE), collaboration (worked closely with product team), and problem-solving (redesigned anomaly detection framework). The personal project indicates strong self-motivation and a continuous learning mindset. However, the target role is 'Backend Engineer' while the experience is heavily skewed towards Machine Learning and AI, which might indicate a mismatch in operational fit for a pure backend role without ML components.