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 NowMy name is Muhammad T. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Electrical Engineering, Firmware Programming, Embedded System, C++, Power Electronics, etc.. I hold a degree in Engineer's degree, , . Some of the notable projects I’ve worked on include: NRF24L01 Wireless Sensor Network - Embedded Software Development, Radar-Based Object Detection - Embedded Software Development, TF-mini-S LiDAR Sensor Firmware - Embedded Software Development, Temperature & Humidity Monitoring - Embedded Software Development, Radar-Based Obstacle Detection System - Embedded Software Development, etc.. I am based in Karachi, Pakistan. I've successfully completed 8 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
2 years
1 Year
1 Year
1 Year
Potentially possible
Engro Corp
Developed a low-power wireless communication system using NRF24L01 transceivers with STM32L4, where a single server communicates with multiple node devices. Implemented an interrupt-based wake-up system where the server polls nodes every 20 seconds, manages acknowledgments (ACK), and dynamically updates the active node list.
Designed an object detection system using TI AWR1843 mmWave radar, optimizing real-time processing for high-accuracy tracking in robotics and industrial applications.
Developed firmware for TF-mini-S LiDAR sensor for precise distance measurement, integrating UART communication and real-time data processing.
A real-time environmental monitoring system using a DHT11 sensor interfaced with an STM32H747 Discovery Board to measure temperature and humidity and display values on a serial terminal (UART/USART).
A real-time obstacle detection system using Acconeer XM125 radar sensors integrated with an STM32L4 microcontroller to detect obstacles and trigger motor activation automatically. - Uses Acconeer XM125 radar sensors for precise object detection - STM32L4 microcontroller processes sensor data and controls the motor based on the obstacle distance - Implemented using STM32CubeIDE for both XM125 and STM32L4 programming
Engineer's degree in
2020-01-01-2024-01-01
in
2018-01-01-2020-01-01
in
2004-01-01-2018-01-01