Arslan L. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Arslan L. IoT, Embedded Systems and Prototyping Platforms

My name is Arslan L. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: ESP32, C++, Arduino, JavaScript, Embedded System, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I’ve worked on include: ESP32 OTA via BLE Flutter app, Flutter application, arduino voice recognization door lock, DIY Arduino Door Lock using fingerprint sensor, CATTLE TRACKER, etc.. I am based in Islamabad, Pakistan. I've successfully completed 7 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • IoT, Embedded Systems and Prototyping Platforms

    4 years

  • ESP32

    1 Year

  • C++

    1 Year

  • Arduino

    3 Years

Additional skills

  • ESP32
  • C++
  • Arduino
  • JavaScript
  • Embedded System
  • ESP8266
  • Internet of Things
  • API
  • Industrial Internet of Things
  • Prototyping
  • MQTT
  • Electrical Engineering
  • Node.js
  • AWS IoT Device Management
  • Firmware Programming

Direct hire

Potentially possible

Previous Company

Techlogix

Ready to get matched with vetted developers fast?

Let's get started today!

Hire Remote Developer

Experience Highlights

ESP32 OTA via BLE Flutter app

Discover how to implement Over-the-Air (OTA) updates for ESP32 devices using a Flutter app! In this step-by-step tutorial, we’ll walk you through setting up OTA firmware updates, enabling you to easily update your ESP32's firmware remotely and wirelessly. What You’ll Learn: Setting up OTA on ESP32 via ble Integrating Flutter for seamless OTA control Ensuring secure and reliable firmware updates Debugging and handling OTA issues

Flutter application

this project is related to automatic shutter opening and closing schedule and do more

arduino voice recognization door lock

Client Goal for the Project: Discover a Secure Voice Recognition Door Lock System Tailored to Your Needs The primary objective of our client is to implement a cutting-edge and reliable Voice Recognition Door Lock system. With a focus on enhancing physical access control, our client seeks to integrate advanced voice recognition technology into the locking mechanism. This innovative solution ensures that only authorized individuals can access secured areas, providing heightened security and peace of mind. Detail About Your Contribution to the Project: Unlocking the Potential: Expert Hardware Circuit Design for Voice Recognition Door Lock System My integral contribution to this project involved the expert design and implementation of the hardware circuit for the Voice Recognition Door Lock system. I meticulously crafted key connections among various components, ensuring seamless communication and optimal functionality. From linking the 5V and ground pins of the voice module to the Arduino Uno, establishing communication through the TX and RX pins, to integrating the ISD1820 module for precise audio playback control – every detail was fine-tuned. The inclusion of a relay for managing the solenoid door lock added an extra layer of physical access control. This strategic arrangement and configuration of components played a pivotal role in the project's success. Summary of the Project Success: Elevate Access Control: Successful Implementation of an Integrated Voice Recognition Door Lock System Our project triumphed by delivering a robust and fully integrated Voice Recognition Door Lock system, perfectly aligning with the client's goal of advancing access control. The meticulously designed hardware circuit created a dependable communication pathway, seamlessly connecting the voice recognition module, ISD1820, Arduino Uno, relay, and solenoid door lock. The system adeptly identifies authorized voice patterns, activating the relay to control the solenoid door lock – effectively securing or releasing access as needed. The project's success not only met but surpassed the client's expectations, providing an efficient and secure solution for physical access control through cutting-edge voice recognition technology. Explore the possibilities with our expertise – where innovation meets security.

The Ultimate Crypto Tickker

To create a crypto ticker using an RGB LED matrix and a website dashboard, we can use the ESP32 microcontroller to gather data from the website "espstack.com/coin" via its API. This API provides real-time data on various cryptocurrencies, including their price, market cap, and trading volume. We can use the ESP32's built-in Wi-Fi module or connect an external Wi-Fi module to it to connect to the internet and gather the data. Once we have the data, we can use the FastLED library to control the RGB LED matrix and display the information in real-time. To create the website dashboard, we can use a platform such as ThingSpeak or Adafruit IO, which allows us to create real-time dashboards for our data. We can use the website dashboard to display the same information as the RGB LED matrix, as well as additional information such as historical price data, news articles, and sentiment analysis. To set up the project, we can start by connecting the RGB LED matrix to the ESP32 and installing the FastLED library. We can then connect the ESP32 to the internet and use the API from "espstack.com/coin" to gather the real-time data on the cryptocurrencies we want to display. We can then use the FastLED library to display the data on the RGB LED matrix, with different colors representing different data points. For example, we can use green to represent a positive price change and red to represent a negative price change. To create the website dashboard, we can use a platform such as ThingSpeak or Adafruit IO to create a real-time dashboard for the data. We can use different widgets to display the data, such as line charts for historical price data and sentiment analysis widgets to display news articles and sentiment analysis. Overall, the combination of an RGB LED matrix and a website dashboard can provide an easy-to-use and visually appealing way to display real-time data on cryptocurrencies. With the ESP32 and the right tools, we can create a powerful crypto ticker that keeps users informed on the latest cryptocurrency prices and market trends.

Remote Control with Monoverable RC Car from Anywhere

Are you ready for the ultimate remote control experience? Look no further than the Monoverable RC Car! This innovative toy car can be controlled from anywhere with an internet connection, thanks to its Wi-Fi connectivity and accompanying app for iOS and Android devices. With live video streaming, a virtual joystick, and a built-in gyroscope, the Monoverable RC Car provides a unique and intuitive remote control experience. Its rechargeable battery also offers up to 30 minutes of playtime, making it perfect for kids and adults alike. Whether you're looking for an off-road remote control car or simply a fun and engaging toy, the Monoverable RC Car is sure to provide hours of entertainment. So why wait? Experience the ultimate remote control experience today!

Education

  • COMSATS Institute of Information Technology

    Bachelor of Applied Science (BASc) in Computer science

    2015-01-01-2019-01-01

Languages

  • English
  • Spanish
  • Italian
  • Russian
  • Russian Sign Language
  • Chinese

Personal Accounts