“Michael is a smart and energetic engineer. He managed to develop deep understanding on project within short time. He always showed his own thoughts and brought in new ideas into the project. He was very solid in coding and always wrote high quality test-driven codes. Another part he did especially well is self-management. He had all his targets in mind, and sent me updates and TODO list frequently, which made it very easy to collaborate with him. It was a fun and inspiring experience to work with Michael:)”
About
Hello!
I'm a lot of things to a lot of different people. 😊
At my core…
I'm a lot of things to a lot of different people. 😊
At my core…
Activity
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Ramp is the corporate card and spend management system that makes controlling costs easy. Contact us to learn more and receive AirPods Pro.
Ramp is the corporate card and spend management system that makes controlling costs easy. Contact us to learn more and receive AirPods Pro.
Liked by Mixail Petrochuk
Experience & Education
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WellSaid Labs
View Mixail’s full experience
See their title, tenure and more.
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Volunteer Experience
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Founder
Husky Nation
- 1 year 5 months
Education
Led a 5-person team in hosting 2 world record attempts with hundreds of participants. Secured $10,000 in partnerships with over 20 sponsors including Geico, KIND, and Sparkling Ice. With 440 people participating, broke the world record for the largest exercise ball class.
Largest Game Of Red Light Green Light World Record Attempt:
https://www.youtube.com/watch?v=MiQdH-AmbDs
Largest Exercise Ball Class Attempt:
https://vimeo.com/168311386
Publications
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SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
EMNLP
The SimpleQuestions dataset is one of the most commonly used benchmarks for studying single-relation factoid questions. In this paper, we present new evidence that this benchmark can be nearly solved by standard methods. First we show that ambiguity in the data bounds performance on this benchmark at 83.4%; there are often multiple answers that cannot be disambiguated from the linguistic signal alone. Second we introduce a baseline that sets a new state-of-the-art performance level at 78.1%…
The SimpleQuestions dataset is one of the most commonly used benchmarks for studying single-relation factoid questions. In this paper, we present new evidence that this benchmark can be nearly solved by standard methods. First we show that ambiguity in the data bounds performance on this benchmark at 83.4%; there are often multiple answers that cannot be disambiguated from the linguistic signal alone. Second we introduce a baseline that sets a new state-of-the-art performance level at 78.1% accuracy, despite using standard methods. Finally, we report an empirical analysis showing that the upperbound is loose; roughly a third of the remaining errors are also not resolvable from the linguistic signal. Together, these results suggest that the SimpleQuestions dataset is nearly solved.
Other authors -
Honors & Awards
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DubHacks (Largest Hackathon in the Pacific Northwest)
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Placed 1st overall and won 2 sponsored prizes at DubHacks, a 600-person hackathon.
Learn more: https://dubhacks15f.devpost.com/ -
Sears Retail Hackathon
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Developed an app that matches similar-looking furniture using CIEDE2000 color distance metric and color quantization. Won the $6,000 grand prize and a $500 sponsored prize at the Sears retail hackathon.
Learn more: https://devpost.com/software/sears-palette
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