Suggestions
🏳️🌈Taylor McCaslin
AI/ML Product Leader | Angel Investor | Technologist | LGBTQ Mentor 🏳️🌈
Taylor McCaslin is the Group Manager, Product - Data Science AI/ML at GitLab, responsible for leading the AI/ML product teams and implementing cutting-edge generative AI.14 He joined GitLab in January 2020 and has been with the company for nearly four years, making it his longest tenure at any organization.4
McCaslin is known for:
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Embracing remote work: He works from Big Sky, Montana, where he lives slopeside and skis over 100 days a year while leading GitLab's AI/ML initiatives.4
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Work-life balance advocacy: He relocated to Big Sky to prioritize his health and happiness, demonstrating how remote work can enable a better quality of life.3
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Async work style: McCaslin adjusted his working hours to evenings to better collaborate with team members in APAC, showcasing GitLab's flexible work culture.3
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Career background: Prior to GitLab, he held positions at Indeed, Duo Security, and WP Engine.1
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Personal details: His pronouns are he/him, and his name is pronounced as "Tay-lor Mc-kaz-lin".2
McCaslin is a strong proponent of remote work, stating that it has transformed his approach to work-life balance and allowed him to do his best work while living his best life.4
Highlights
Are you going to be at Google Cloud #NEXT24 in Las Vegas in 2 weeks? I'll be there talking about how GitLab Duo, our suite of AI-powered features can drive developer productivity. Check out my sessions: https://lnkd.in/gwvbG7Ep
🚨All GitLab users can now use Code Suggestions for free during beta! Boost efficiency with the help of #generativeAI that suggests code while you're developing.
We’ve extended language support from our initial six languages to now include 13 languages: C/C++, C#, Go, Java, JavaScript, Python, PHP, Ruby, Rust, Scala, Kotlin, and TypeScript.
Code Suggestions is built with #Privacy as a critical foundation. It keeps your proprietary source code secure within GitLab's enterprise cloud infrastructure, and this code isn't used as training data.
Note: Due to high demand, expect unscheduled downtime. In Beta, it may produce low-quality or incomplete suggestions. Give it a try, and share your feedback with us. https://lnkd.in/e387cUXW
