Started as Frontend Lead with role later expanded to Full stack & AI capabilities.

Built production WhatsApp AI agent from ground up alongside ex-Meta and ex-WhatsApp engineers.

Complete website: Figma → Next.js, React, TypeScript, Tailwind CSS

Server-side rendering, responsive design, pixel-perfect implementation

Next.js Server Actions + Temporal Workflows for reliable message processing

Multi-provider AI (Claude, GPT, Gemini) with RAG and vector database

WhatsApp Business API: voice transcription, image captions, quick replies, link scraping

Supabase PostgreSQL with Row-Level Security policies

Query optimization, indexing, schema design

Handled 1000+ concurrent users during viral launch

OAuth (NextAuth), multiple user roles

Google Calendar 2-way sync via webhooks

Cron jobs for scheduled tasks and cleanup

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Our WhatsApp AI agent went viral - 300K+ impressions overnight.

As the solo frontend engineer who'd expanded to full-stack, I watched every system I built get stress-tested in real-time. Database queries handling 10x expected load. Temporal workflows processing thousands of messages. RLS policies routing new users every second.

Then bugs appeared. Frontend issues, timeouts, workflow hiccups.

Full firefighting mode: Find bug → Fix → Test → Deploy. Repeat. No downtime. Every architectural decision from months earlier either saved me or taught me a lesson.

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✓ Bugs fixed same day as reported ✓ 1000+ concurrent users handled smoothly ✓ "Exceeds Expectations" performance ratings ✓ 2 promotions in 6 months ✓ Worked with ex-Meta & ex-WhatsApp engineers

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Frontend: Next.js 14 • React • TypeScript • Tailwind CSS Backend: Next.js Server Actions • Temporal Workflows Database: Supabase PostgreSQL • RLS • Query Optimization AI: Multi-provider (Claude, GPT, Gemini) • RAG • Vector DB Infrastructure: WhatsApp Business API • NextAuth • Webhooks • Vercel Cron