I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.
We worked with LLMs deeply, especially in code generation research. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task. https://dn.institute/research/ai/specgem/
Last month I released a self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc
Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript/TypeScript, practical LLM integration, React.
DN Institute | Software Engineer | Full Remote (World)
Distributed Networks Institute’s mission is to achieve sustainable technological growth and resilience by leveraging scientific, engineering, and organizational principles of distributed networks. We are a part of a 501(c)3 non-profit incubator in Washington DC called BlockShop.
We just released a paid Software Development challenge with a monetary bounty and a chance to become part of our team. It involves improving a Telegram Connector, deployed on Cloudflare Workers (JS + Python). You can find the full description and more information about challenge program in the Github issue here: https://github.com/1712n/dn-institute/issues/491
Remote: Yes
Willing to relocate: Yes
Technologies: JavaScript, TypeScript, Cloudflare Workers, LLM integration, React.
Resume/CV: kol3x.com
Е-mаil: hn-september at kol3x dot com
I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.
We worked with LLMs deeply, especially in code generation research. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task. https://dn.institute/research/ai/specgem/
Last month I released a self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc
Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript/TypeScript, practical LLM integration, React.
CV, LinkedIn, and GitHub are also linked at https://kol3x.com
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