Building intelligent mobile apps for the edge.

I bring over 7 years of mobile development experience across Android, Flutter, and React Native. Today, my focus is advancing those platforms with on-device AI to build smart, private, and highly responsive apps.

Meet Prajapati

At a glance & core stack

At a glance

0+

Years in mobile engineering

0

Core platforms

0+

Domains in production

Core stack

Mobile Platforms

AndroidFlutterReact NativeKotlinJetpack ComposeJavaDart

On-Device AI

Edge AIMediaPipeLlama.cppExecuTorchML KitTensorFlow LiteOpenCV

Architecture

Clean ArchitectureMVVMBLoCRedux

IoT & Real-time

IoTBLEMQTTSocket.ioWebRTCArduino

Work history

Leading Android development across connected-device streaming, Edge AI, and embedded systems.

Android TV Transmitter App

Audio Streaming Platform

  • Built a scalable transmitter app to manage and synchronize wireless speakers across devices
  • Architected Socket.io–based real-time communication and optimized multi-threading for low-latency audio control
  • Developed JNI integrations and modular MVVM architecture for high-performance native interactions
  • Refactored legacy components to improve stability, scalability, and maintainability

Companion Mobile App

Multi-Device Control

  • Developed a mobile app to manage multiple transmitters, speakers, and audio configurations across networks
  • Enabled centralized control for audio enhancements and real-time device orchestration
  • Ensured responsive UI and reliable synchronization across distributed devices

Smart IoT App with Edge AI

  • Built on-device AI capabilities using MediaPipe, Llama.cpp, and ExecuTorch inference engines
  • Designed fully offline AI pipelines with zero cloud dependency, ensuring privacy and low latency
  • Optimized model performance using quantization and efficient runtime strategies

Embedded Wearable Device

i.MX 8M Mini

  • Developed an Android-based application for a wearable device to monitor health sensors and track user health data
  • Integrated on-device AI insights for real-time health analysis and feedback
  • Optimized performance for embedded constraints including limited compute, memory, and power

Tech Stack

KotlinAndroidAndroid TVEmbedded AndroidJetpack ComposeMVVMSocket.ioJNIMediaPipeLlama.cppExecuTorch

Latest thoughts

Let's connect

Open to new opportunities, collaborations, or just a friendly chat about mobile development and AI.

meet30997@gmail.com