Skip to content

Ronn Tan. Software Engineer & Founder.

I build AI products and the backend infrastructure behind them. Currently shipping Appraiso — an iOS app that prices anything you point your camera at — after 13+ years architecting distributed systems at PeekYou.

Currently Building Appraiso — an AI-powered appraisal app for iOS
01 / About

I'm a software engineer and solo founder with a strong backend and system design foundation. For 13+ years I architected distributed systems at PeekYou — a people-search platform handling hundreds of millions of records and millions of daily queries.

Today I'm building Appraiso: an AI-powered iOS app that identifies physical items via camera and returns real-time pricing from 100+ marketplaces. I built and shipped it end-to-end — backend, ML pipeline, payments, and App Store launch.

13+
Years building
production systems at scale
100M+
Records served
across MongoDB & MySQL
100+
Marketplaces
aggregated by Appraiso
1
Solo founder
shipped end-to-end on iOS
02 / Featured Work

Built end-to-end. Shipped to production.

Coming soon · 2025 → Launching soon

Appraiso

AI-powered item identification & real-time pricing on iOS

Snap a photo, get an instant identification and real-time pricing across 100+ retail and resale marketplaces. Built end-to-end as a solo founder — backend, ML pipeline, scraping infrastructure, payments, and App Store launch.

  • Multi-source price estimation engine combining Gemini (vision + language), eBay sold data, retail waterfalls, and outlier-filtered aggregation.
  • Two-layer Redis + MongoDB caching with canonical key matching and vector similarity fallback — sub-second repeat lookups, dramatically lower LLM costs.
  • Core ML for on-device image similarity; Gemini embeddings + vector search for fuzzy title matching across a growing catalog.
  • Production Next.js backend on Railway with a real-time scraping pipeline using Decodo residential proxies and Cloudflare R2 storage.
  • StoreKit 2 subscriptions, RevenueCat, and eBay Partner Network affiliate — full App Store submission and review.
SwiftUICore MLNext.jsGeminiRedisMongoDBVector SearchRailwayCloudflare R2StoreKit 2
Shipped · Apr 2012 → Jan 2026

PeekYou

Lead / Senior Full Stack Engineer · 13 yrs 10 mos

Progressed from junior engineer to Lead, owning backend architecture and data systems for a high-scale people-search platform serving hundreds of millions of records and millions of daily queries.

  • Led a zero-downtime migration of the entire production platform from on-prem to AWS as the sole engineer — re-routing live traffic and modernizing compute, storage, and CI/CD while reducing infrastructure costs.
  • Architected data models across MongoDB and MySQL supporting hundreds of millions of records and millions of daily queries.
  • Designed event-driven queueing and async processing systems for high-throughput data ingestion and search at scale.
  • Leveraged AWS Lambda to offload background workloads and automate large-scale data pipelines, reducing compute costs and latency.
  • Built real-time APIs, internal tools, and user-facing portals; owned production reliability, performance, and scalability.
PythonPHPNode.jsMongoDBMySQLRedisAWS LambdaEC2S3Nginx
03 / Next

Pipeline. Built on the same engine as Appraiso.

prototyping · Powered by Appraiso engine

StyleSearch.ai

Snap any outfit, find every piece (and what it costs).

stylesearch.ai

Point your camera at an OOTD — yours, a stranger's, a screenshot — and instantly identify every piece of apparel, accessory, and footwear in the frame. Cross-marketplace lookup tells you where to buy and what each item costs right now.

  • Same identification + pricing pipeline as Appraiso, retargeted to fashion (apparel, accessories, footwear)
  • Cross-marketplace lookup across 100+ retailers — Nordstrom, Farfetch, Grailed, eBay, etc.
  • Save outfits to a closet, get price-drop and restock alerts on the items you want
  • Built as a thin product layer on top of the Appraiso engine — proves the platform thesis
SwiftUICore MLVisionAppraiso APIStoreKit 2RevenueCat
04 / Experience

Two chapters. One throughline: build at scale.

  1. Founder & Software Engineer · Appraiso LLC

    Jun 2025 — Present
    New York City
    • Designed and shipped Appraiso end-to-end: an AI-powered iOS app that identifies physical items via camera and returns real-time pricing from 100+ retail and resale marketplaces.
    • Architected a multi-source price estimation engine combining Gemini API (vision + language), eBay sold data, retail waterfalls, and outlier-filtered aggregation.
    • Built a two-layer Redis + MongoDB caching system with canonical key matching and vector similarity fallback, enabling sub-second repeat lookups and dramatically reducing LLM API costs.
    • Implemented Core ML for on-device image similarity and Gemini embeddings with vector search for fuzzy title matching across a growing product catalog.
    • Deployed production Next.js backend on Railway with a real-time scraping pipeline using Decodo residential proxies (Chrono24, WatchBox, dealer sites) and Cloudflare R2 storage.
    • Integrated StoreKit 2 subscriptions, RevenueCat, and eBay Partner Network affiliate; completed full App Store submission and review process.
  2. Lead / Senior Full Stack Engineer · PeekYou

    Apr 2012 — Jan 2026 · 13 yrs 10 mos
    New York City
    • Progressed from Junior Engineer to Lead, owning backend architecture and data systems for a high-scale people-search platform.
    • Led a zero-downtime migration of PeekYou's entire production platform from on-prem to AWS as sole engineer — re-routing live traffic seamlessly and modernizing compute, storage, and CI/CD while reducing infrastructure costs.
    • Architected data models across MongoDB and MySQL supporting hundreds of millions of records and millions of daily queries.
    • Designed event-driven queueing and async processing systems to handle high-throughput data ingestion and search at scale.
    • Leveraged AWS Lambda to offload background workloads and automate large-scale data pipelines, reducing compute costs and latency.
    • Built real-time APIs, internal tools, and user-facing portals powering search, data aggregation, and dataset management.
    • Owned production reliability, performance, and scalability; partnered with product and business stakeholders to drive technical strategy.
05 / Stack

What I reach for.

Languages

  • Python
  • TypeScript
  • Node.js
  • Swift
  • PHP

Frameworks

  • Next.js
  • SwiftUI
  • React
  • Laravel

Data & Storage

  • MongoDB
  • Redis
  • MySQL
  • Vector Search
  • Embeddings

Cloud & Infra

  • AWS (Lambda, EC2, S3)
  • Railway
  • Nginx
  • Cloudflare
  • Docker
  • CI/CD

AI & ML

  • Gemini API
  • Core ML
  • Computer Vision
  • LLM Integration
  • Embeddings
  • Web Scraping

System Design

  • Distributed Systems
  • API Design
  • Caching Strategies
  • Event-Driven Architecture
  • Performance Tuning
06 / Let's build

Hiring for a senior, staff, or founding engineer role?

I'm at my best on small teams shipping AI products that need real backend depth — distributed systems, data pipelines, search, and infra that scales. Open to NYC and remote.