Skills
Vue, Nuxt, React, Next.js, TypeScript, Supabase, TailwindCSS,
SSR, CSR, State Management, Component Architecture,
AI Integration, Prompt Engineering, Context Engineering,
LLM APIs, Realtime Systems, Payment Integration, Open Source
About
At Talentera (Bayt.com), I work on a multi-tenant SaaS platform where performance, security, and usability are baseline expectations, not afterthoughts.
I built a config-driven page rendering engine that handled the migration of 50+ legacy pages to a modern Nuxt/SSR stack, took ownership of a stalled SSR implementation and delivered it from scratch, and built a proxy API layer that kept sensitive data off the client in a multi-tenant environment.
I also reduced local dev build time from 4 minutes to 1 minute through targeted architecture changes, recovering roughly two engineering days per month per developer.
More recently I've taken on a broader role: overseeing the AI-driven recreation of the entire Talentera platform. This has pulled me deep into prompt and context engineering, spec extraction and creation, and designing systems that work reliably with AI at their core.
It's also meant aligning across functions — working directly with the CTO, General Manager, and multiple product managers to translate ambiguous goals into concrete technical direction.
On the open source side, I published an NPM package extending Vueform with advanced checkbox functionality. It's live, documented, and used by others.
My primary production stack is Vue and Nuxt. Outside of work I build with Next.js — most seriously with Planr, an AI-powered SaaS I've built solo from scratch and am currently taking to market.
Planr is a conversational planning and execution partner. You tell it your goal, it builds a structured plan with you through conversation, then stays with you through execution — pulling you forward when momentum drops.
I've handled everything: Next.js frontend, Supabase backend, Realtime sync, AI tool-calling with Gemini, token-based usage limits, and payment integration via LemonSqueezy. It's in late pre-launch and has pushed me deep into SSR architecture, secure server-side data handling, and AI integration patterns.
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