AI/LLM Consultant & Full-stack Developer

Emily Kang is an AI consultant and founder, offering limited capacity for projects. She specializes in quickly delivering production AI features, including LLM pipelines, end-to-end paid AI products (billing, licensing, deliverability), and real-time data processing. She emphasizes rapid shipping, often using Claude Code Max + Codex for code review. Her recent work includes TimeBox (AI-native calendar using Electron, TypeScript, OpenRouter, Supabase) and PodcastBrief (automated podcast-to-brief pipeline using Next.js, Railway, Deepgram, Browserbase, Arcjet, Stripe). She can solve problems related to subscription billing/license-key provisioning for desktop apps, long-running async AI jobs (especially media processing), and anti-abuse on AI endpoints. Emily thrives with early-stage startups needing to ship AI features in days or weeks, and is comfortable owning the full vertical: architecture, implementation, deployment. She offers outcome-based, scoped pricing with three tiers. Additional links: https://podcastbrief.app, https://github.com/emilykangdev