AI Systems and Product Engineering

Selected projects where I built the infrastructure around AI products: backend systems, generative model workflows, prompt engineering, real-time interactions, storage, deployment, and user-facing automation.

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AI Content Pipeline for Quackmate

Automated content generation platform integrating Next.js, Supabase, Cloudflare R2, and DALL-E 3. Built scheduling, analytics, prompt workflows, and a generative asset pipeline for low-latency media storage.

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Backend System for Vooyai

Backend system for an AI travel platform serving 1,500+ users. Built REST APIs, real-time WebSocket flows, Dockerized services on AWS EC2, integrations with OpenAI, Mapbox, and Stripe, and prompt workflows for itinerary generation.

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LLM Prototype for Fintech Product Discovery

Advised Blinko AI on LLM feasibility, hallucination risk, privacy constraints, and operating-cost tradeoffs, then built a demo to validate the product direction with potential fintech customers.