“I had the pleasure of working with Jason on the Support team at Descript and have always been impressed by his kindness and sincerity at work. Jason is an excellent brain buddy who I could go to when working on tough issues as he really thinks deeply about the nature of any problem to identify the various possible solutions. Jason has incredible technical aptitude as well and served as a knowledge resource for our technical and front-line support teams. He especially was instrumental in helping to evaluate and improve our internal support documentation and one-touch response libraries. I highly recommend Jason as a dedicated and valued contributor to any organization.”
About
I'm a technically curious and customer-focused professional who works at the intersection…
Experience
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Education
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Brigham Young University
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Activities and Societies: HBC (Humanities to Business Club) VP of web design.
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Volunteer Experience
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Full-time Volunteer
Religious Orginization
- 2 years 1 month
On the island of Taiwan I worked an excess of 80 hours a week doing door to door and on the street contact with new people. Taught English and religious lessons in Chinese, found and implemented service opportunities, correlated and made plans with local area heads about the area, reported to higher ups about the progression and current state of the area in which I was assigned.
Languages
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Chinese (Mandarin)
Professional working proficiency
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English
Native or bilingual proficiency
Recommendations received
8 people have recommended Jason
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Liatrio
Most teams never get to the hard part: working in an AI-native way on real codebases, in real workflows. We built something to fix that. Forge is Liatrio's internal program for developing real AI fluency. Our team gets weeks of immersive, hands-on practice until new ways of working actually stick. What we're seeing from the first cohorts: 🏆 More confidence using AI in everyday work 💨 Faster iteration on ideas and solutions 🧠 Better knowledge-sharing across the team 🤝 Shared language for what AI-first actually means in practice Building an AI-first culture happens through repetition, experimentation, and shared learning - not tooling mandates. We wrote about what this looks like in practice: https://hubs.li/Q0495t0Z0
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