I had the pleasure to work with Kim for 16 months at Shopify. I sought Kim out directly as I wanted to renew our investment in product recommendations, and wanted to build a new team around him. I was delighted he took on the challenge. During his time on our team Kim helped expand our API to round out of recommendations offering, oversaw the release of new ML models, helped onboard many new ML engineers and data scientists and contributed greatly to our offline and online evaluation approach, including working on personalization. Kim contributes at all levels: as a technical mentor, model developer, but where he made the biggest contribution was setting our North Star direction, under which we guided all smaller projects. A leader in the field, Kim is still approachable and thoughtful and most importantly cares deeply about the team and contributing to work that matters! I would happily work with Kim again.

Kim is a thoughtful, brilliant recommendations systems and machine learning expert. He helped advocate for best practices around testing and evaluating recsys, part of the team that led to double-digit% GMV growth for merchants on that surface. More importantly he's a fantastic human being. He cares deeply for his colleagues, and hopes to develop them into great engineers and data scientists in the recsys space. I treasure my long conversations with Kim - we worked closely and collaborated at Shopify. I was the staff eng on search side, and him on the recsys side. So we had a lot of long conversations comparing / contrasting search and recsys. But always with shared principals of solid methodological backing to experimentation before all else Any team would be lucky to have Kim

I had the pleasure to work with Kim for 16 months at Shopify. I sought Kim out directly as I wanted to renew our investment in product recommendations, and wanted to build a new team around him. I was delighted he took on the challenge. During his time on our team Kim helped expand our API to round out of recommendations offering, oversaw the release of new ML models, helped onboard many new ML engineers and data scientists and contributed greatly to our offline and online evaluation approach, including working on personalization. Kim contributes at all levels: as a technical mentor, model developer, but where he made the biggest contribution was setting our North Star direction, under which we guided all smaller projects. A leader in the field, Kim is still approachable and thoughtful and most importantly cares deeply about the team and contributing to work that matters! I would happily work with Kim again.

Kim is a thoughtful, brilliant recommendations systems and machine learning expert. He helped advocate for best practices around testing and evaluating recsys, part of the team that led to double-digit% GMV growth for merchants on that surface. More importantly he's a fantastic human being. He cares deeply for his colleagues, and hopes to develop them into great engineers and data scientists in the recsys space. I treasure my long conversations with Kim - we worked closely and collaborated at Shopify. I was the staff eng on search side, and him on the recsys side. So we had a lot of long conversations comparing / contrasting search and recsys. But always with shared principals of solid methodological backing to experimentation before all else Any team would be lucky to have Kim

I had the pleasure to work with Kim for 16 months at Shopify. I sought Kim out directly as I wanted to renew our investment in product recommendations, and wanted to build a new team around him. I was delighted he took on the challenge. During his time on our team Kim helped expand our API to round out of recommendations offering, oversaw the release of new ML models, helped onboard many new ML engineers and data scientists and contributed greatly to our offline and online evaluation approach, including working on personalization. Kim contributes at all levels: as a technical mentor, model developer, but where he made the biggest contribution was setting our North Star direction, under which we guided all smaller projects. A leader in the field, Kim is still approachable and thoughtful and most importantly cares deeply about the team and contributing to work that matters! I would happily work with Kim again.

Kim is a thoughtful, brilliant recommendations systems and machine learning expert. He helped advocate for best practices around testing and evaluating recsys, part of the team that led to double-digit% GMV growth for merchants on that surface. More importantly he's a fantastic human being. He cares deeply for his colleagues, and hopes to develop them into great engineers and data scientists in the recsys space. I treasure my long conversations with Kim - we worked closely and collaborated at Shopify. I was the staff eng on search side, and him on the recsys side. So we had a lot of long conversations comparing / contrasting search and recsys. But always with shared principals of solid methodological backing to experimentation before all else Any team would be lucky to have Kim