I'm a software engineer focused on building and shipping real products.

Most of my experience is in web and mobile engineering, with work across frontend architecture, backend systems, native development, cloud infrastructure, developer tooling, computer vision, and AI-enabled features.

I enjoy owning problems beyond implementation, from understanding the product need and making technical decisions to handling edge cases, shipping, and improving the system after release.

Previously worked on consumer mobile products at LiftOff, contributing to production features across React Native and native iOS.

My work included iOS widgets, Live Activities, native platform integrations, and other user-facing mobile features shipped as part of the LiftOff product.

I also worked on Jump AI, where I built the native AI camera system and jump detection pipeline used to process camera input and detect jumps in real time.

A tool for checking suspicious job offers, task scams, and online earning schemes.

I'm building the analysis around how these scams appear in practice across messages, screenshots, job descriptions, websites, and longer conversations instead of treating every submission as an isolated piece of text.

Live, currently in testing, private source

Real-time human pose detection for React Native and Expo.

npx expo install react-native-pose-detection

Built with MediaPipe, the library detects 33 body landmarks per frame while keeping detection, smoothing, drawing, and trigger logic in the native layer.

It supports Expo and bare React Native projects, native overlays and triggers, photo and video processing, multiple model variants, and adaptive performance tuning.

View source and documentation
View package on npm

Web and Product
TypeScript, JavaScript, React, Next.js, frontend architecture, full-stack product development

Mobile and Native
React Native, Expo, Swift, SwiftUI, ActivityKit, HealthKit, native React Native modules

Backend and Data
Node.js, Express, REST APIs, PostgreSQL, MySQL, Redis, Prisma, Sequelize

Cloud and Delivery
Docker, Cloudflare, Google Cloud, Vercel, GitHub Actions

AI and Computer Vision
LLM integrations, AI-enabled workflows, MediaPipe, on-device inference

I prefer systems that are easy to understand, maintain, and change. I add complexity when the problem actually requires it.

I care about clear interfaces, practical architecture, sensible abstractions, performance, reliability, and code that another engineer can work with without having to untangle every decision first.