Android Developer Profile
Liviu
Android R&D Engineer with ~2 years of production experience specializing in on-device computer vision, augmented reality, and sensor-driven systems. Shipped real-time ML pipelines (custom YOLO variants, MediaPipe Pose, ML Kit) on ARCore and SceneView, built indoor localization stacks from IMU and Wi-Fi/LTE sensor data, and authored React Native native modules bridging advanced Android capabilities into cross-platform apps. Comfortable working at the intersection of low-level sensor data, 3D math, and Jetpack Compose UI. Current focus: turning ambitious on-device CV and AR into products that run reliably on mid-tier phones.
Full-Time
$50 per hour
$80,000 per year
Languages: Kotlin (expert), TypeScript, Python (basics for ML tooling) Android core: Jetpack Compose, MVI architecture, Coroutines + Flow, Hilt, Navigation, CameraX, Room, Jetpack DataStore, Material 3, multi-module Gradle, Kotlin Multiplatform Computer vision & ML on mobile: ARCore, SceneView, MediaPipe (Pose, Hands), Google ML Kit (Document Scanner, Barcode), YOLOv8 integration, OpenCV, NMS, custom raycasting, coordinate system transforms, on-device inference optimization Sensors & signal processing: IMU fusion (accelerometer, gyroscope, magnetometer, game rotation), custom step detection, barometer-based vertical tracking, Wi-Fi / LTE scanning, RSSI heatmaps, PCA, Union-Find clustering Backend & services: Firebase (Firestore, Auth, Cloud Messaging), RevenueCat, Google Play Billing, AdMob, PostHog, REST APIs, TMDB, OpenWeather Cross-platform: React Native (Expo) native module development, Android-to-JS bridging Tooling: Git, Android Studio, Gradle (Kotlin DSL), Figma, GitHub Actions basics
Romanian (native), English (C1), Russian (C1)
Work Experience
Android R&D Engineer
at TheNoughtyFox
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Studies
Bachelor's degree in Software Engineering
at Technical University of Moldova
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