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akshar2324/README.md

Hi, I'm Akshar Kalathiya

Software Engineer | Android Developer | Python Developer | AI & Embedded Systems Engineer

I build complete products across mobile apps, backend services, embedded Linux, Raspberry Pi systems, camera pipelines, computer vision, AI inference, networking, and cloud infrastructure.

Portfolio · Portfolio Source · Email


About Me

I am a software engineer passionate about solving real-world problems through software, AI, and embedded systems. I enjoy building complete products, from hardware integration to backend services and mobile applications.

I specialize in Android development, Python backend development, Raspberry Pi systems, computer vision, networking, AI inference, and cloud infrastructure. I like products that combine software with electronics, automation, and artificial intelligence.

Current Work

Software Engineer at Mindron

Working on industrial products involving:

  • Android applications
  • Python applications
  • Raspberry Pi and embedded Linux
  • Camera systems and image processing
  • Bluetooth and network communication
  • Computer vision and AI integration
  • Hardware-software integration

Tech Stack

Area Technologies
Languages Python, Java, Kotlin, C, C++, Dart, SQL, JavaScript, TypeScript
Mobile Android, Jetpack Compose, Camera2 API, Flutter
Backend Flask, REST APIs, Firebase, SQLite, PostgreSQL
Embedded Raspberry Pi, Linux, Bluetooth, GPIO, UART, I2C, SPI
AI & Vision OpenCV, PyTorch, TensorFlow Lite, Image Processing, Machine Learning
Cloud & DevOps Git, GitHub, Docker, Linux Servers, NGINX, WireGuard, Firebase, CI/CD

Featured Projects

  • Trusure Mega: Industrial AI inspection system using Raspberry Pi and camera technology.
  • Trusure Median: Android-based industrial inspection application with Bluetooth communication and camera processing.
  • AkSpend: Offline personal finance manager with expense tracking, budgets, CSV export, and local encrypted storage.
  • AI Image Processing System: Python application for image enhancement, computer vision, batch processing, OpenCV, and PyTorch.
  • Spectrometer Diamond Identification: AI-assisted diamond identification system using spectroscopy and image analysis.
  • Raspberry Pi Camera Streaming: Real-time video streaming server with Flask and Picamera2.
  • Server Infrastructure: Distributed infrastructure using Docker, GPU workers, load balancing, PostgreSQL, WireGuard VPN, and NAS.
  • Automation Tools: Desktop utilities and productivity applications built with Python.

GitHub Snapshot

Public repositories Engineering focus

What I Like Building

  • Industrial inspection systems
  • Android apps connected to hardware
  • Raspberry Pi and embedded Linux products
  • Camera and computer vision pipelines
  • AI inference workflows
  • Python backend services
  • Secure server infrastructure
  • Automation tools that save real time

Connect


Building practical systems where software, hardware, and AI meet.

Popular repositories Loading

  1. chat_app chat_app Public

    Chat Application Using FireBase

    Dart 7

  2. speedometer_app speedometer_app Public

    Speed measuring app using gps to show speed in diffrent unit

    Dart 6

  3. ComposeCalculoter ComposeCalculoter Public

    calculator app using compose

    Kotlin 5

  4. MaditationApp MaditationApp Public

    Maditation App UI Using JetpackCompose

    Kotlin 5

  5. weather_app weather_app Public

    weather_app using flutter and open weather Api

    C++ 5

  6. Akshar062 Akshar062 Public

    5