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Machine Learning Engineer (ex-Reddit) | Ads Ranking & Recommender Systems | Currently on Career Sabbatical
I am a machine learning engineer with experience building large-scale ranking and recommendation systems, particularly in the ads and personalization domain. Over the past decade I’ve worked on machine learning systems that operate at internet scale, focusing on deep learning, representation learning, and high-performance ML infrastructure. Outside of engineering, I am deeply passionate about fingerstyle guitar and acoustic instrument design. I have long been fascinated by the intersection of physics, signal processing, and musical expression in acoustic systems. After more than ten years of continuous work in the industry, I am currently on a career sabbatical. I’m using this time to recharge, travel, and spend more time exploring long-standing interests — including experimenting with acoustic pickup systems and other music-related projects. I look forward to reconnecting with the ML community and exploring new opportunities later this year.
York University
MASc, Computer Science
January 1, 2013 – August 1, 2015
Vancouver Film School
Diploma, Audio processing and sound engineering
January 1, 2011 – January 1, 2012
Univerity of shanghai for science and technology
Electrical and Electronics Engineering
N/A – Present
Sabbatical
Machine Learning Engineer (Career Sabbatical)
January 1, 2026 – Present
Reddit, Inc.
Senior Machine Learning Engineer @ Reddit Ads
August 1, 2022 – January 1, 2026
Greater Seattle Area
Amazon
Research Scientist @ Amazon pricing
September 1, 2020 – August 1, 2022
Greater Seattle Area
Facebook Hardware/Software codesign
January 1, 2019 – September 1, 2020
Menlo Park, California, United States
ForeSee （Verint)
Lead Scientist
July 1, 2015 – January 1, 2019
Vancouver, Canada Area
1QBit
Quantun computing research intern
September 1, 2013 – September 1, 2014
Toronto, Ontario, Canada · On-site
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineering and Research Scientist roles, with a strong focus on Deep Learning and high-performance computing. The target role is 'Data Analyst'. This represents a significant mismatch in primary responsibilities and skill sets. While there are transferable analytical skills, the core expertise is in model development and system architecture, not traditional data analysis, reporting, or business intelligence. The breadth of skills is deep within ML/DL but narrow for a general Data Analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights roles requiring significant technical depth and problem-solving. While direct evidence of soft skills like communication or teamwork is not explicitly provided, the progression through senior roles at top-tier companies suggests an ability to operate effectively within complex organizational structures. The sabbatical indicates a proactive approach to career development.