Location: Vancouver, Canada
Remote: Yes
Onsite/Hybrid: Yes. Willing to travel periodically. Hybrid 2-3 days on-site is something I'd be open to.
Willing to Relocate: No
Contract: Yes, incorporated, but open to employment.
Languages/Frameworks (in order of experience: JavaScript, TypeScript, Node.js, Vue, Vuetify, PrimeVue, MongoDB/Mongoose, Temporal.io, Docker, React <19 (classes and hooks), Angular.js <= 1.8, Swift, SwiftUI, Python
Tooling: Vite, Turbopack, Webpack, Github Actions, Docker, Jira, ESLint, testing-library, Jest
AI Tooling: Claude Code in VSCode or Pi w/ qwen3.6-35b-a3b or qwen3.8-27b, Codex, Gemini
Résumé/CV: https://drive.google.com/file/d/1E5jXWKOhccYwSfxwrT_h74_7KsM...
Email: me (at) luketully (dot) ca
Previously: Most recently worked in a hybrid capacity here in Vancouver at Flagler Health. Highlights include the construction of the PDF billing report pipeline, and was responsible for migrating a majority of our Node.js job queue to Temporal.io, during which I was—in some specific cases—able to extract significant performance improvements though better use of concurrency and reducing roundtrips to mongodb. I regularly paired with juniors in a mentorship capacity, and I'd be happy to do so again. I enjoyed working with my immediate team and enjoyed getting out of the house semi-frequently. I have a strong background in frontend, and enjoy messy unglamorous work that nonetheless improves some part of someone's life.
Currently: Touching grass, climbing, learning.
Goal: I'm based out of Vancouver, but happy to discuss different remote arrangements globally or hybrid in Vancouver, Canada. I enjoy working on distributed computing workflows, sticky legacy problems, improving UX and DX, concurrency optimizations, and overall making useful products with a good team.
While I am a regular user of various local models, frontier models, and use them in multiple harnesses, I am not what anyone would call "all in on AI". I'm not lovingly handcrafting every line of code, but I'm not just reviewing output, which is mind-numbing and error-prone. LLMs are tools and I use them like tools.
Absolutely do not contact me if you don't have a concrete role or project to discuss. I'm not interested in data annotation or being posted to yet another slop job board, or a resume builder, or any kind of job recommendation service, or any job where an overwhelming majority of the work is entirely AI-driven.
Remote: Yes
Onsite/Hybrid: Yes. Willing to travel periodically. Hybrid 2-3 days on-site is something I'd be open to.
Willing to Relocate: No
Contract: Yes, incorporated, but open to employment.
Languages/Frameworks (in order of experience: JavaScript, TypeScript, Node.js, Vue, Vuetify, PrimeVue, MongoDB/Mongoose, Temporal.io, Docker, React <19 (classes and hooks), Angular.js <= 1.8, Swift, SwiftUI, Python
Tooling: Vite, Turbopack, Webpack, Github Actions, Docker, Jira, ESLint, testing-library, Jest AI Tooling: Claude Code in VSCode or Pi w/ qwen3.6-35b-a3b or qwen3.8-27b, Codex, Gemini
Résumé/CV: https://drive.google.com/file/d/1E5jXWKOhccYwSfxwrT_h74_7KsM...
Email: me (at) luketully (dot) ca
Previously: Most recently worked in a hybrid capacity here in Vancouver at Flagler Health. Highlights include the construction of the PDF billing report pipeline, and was responsible for migrating a majority of our Node.js job queue to Temporal.io, during which I was—in some specific cases—able to extract significant performance improvements though better use of concurrency and reducing roundtrips to mongodb. I regularly paired with juniors in a mentorship capacity, and I'd be happy to do so again. I enjoyed working with my immediate team and enjoyed getting out of the house semi-frequently. I have a strong background in frontend, and enjoy messy unglamorous work that nonetheless improves some part of someone's life.
Currently: Touching grass, climbing, learning.
Goal: I'm based out of Vancouver, but happy to discuss different remote arrangements globally or hybrid in Vancouver, Canada. I enjoy working on distributed computing workflows, sticky legacy problems, improving UX and DX, concurrency optimizations, and overall making useful products with a good team.
While I am a regular user of various local models, frontier models, and use them in multiple harnesses, I am not what anyone would call "all in on AI". I'm not lovingly handcrafting every line of code, but I'm not just reviewing output, which is mind-numbing and error-prone. LLMs are tools and I use them like tools.
Absolutely do not contact me if you don't have a concrete role or project to discuss. I'm not interested in data annotation or being posted to yet another slop job board, or a resume builder, or any kind of job recommendation service, or any job where an overwhelming majority of the work is entirely AI-driven.