Azlan Ikram

• Developed embedded firmware for testing and validation of motor control electronics using the STM32F1 microcontroller platform. • Performed PCB assembly and component population, supporting hardware bring-up . • Implemented and integrated I²C-based I/O expanders and DC-DC power supply modules within the embedded control system. • Integrated an SPI-based signal generator into the automated test platform, including implementation of a closed-loop control mechanism for capacitor ESR testing.

• Developed base libraries and testing frameworks to enhance embedded software reliability. • Implemented Python scripts for task automation in testing environments. • Conducted Hardware-in-the-Loop (HIL) testing to validate embedded systems. • Adapted and extended existing embedded software projects using C for STM32 microcontrollers. • Expanded the functionality of Python-based testing and logging applications, both in GUI and command-line interfaces, to better meet project requirements.

•Designing, developing, coding, testing and debugging system firmware and hardware (STM-32 ). •Analyze and enhance efficiency, stability and scalability of system resources. •Integrate and validate new product designs. •Verification of PCB Layouts and schematics. •Managing and updating Git Repositories. •Hardware testing including power profile testing to ensure least power draw. •Working with GSM modules via AT-Commands. •Sending (sensor data) and receiving (configurations) to and from TCP/IP Listener.

• Introduction to Machine Learning models. • Creating virtual environment using Anaconda and installing CUDA and cuDNN for model acceleration (training) using GPUs. • Training Machine Learning models with CUDA based GPU acceleration using TensorFlow. • Optimization via conversion to TensorFlow lite for edge applications. • Setting up Linux and ML Environment on edge device. • Inference of Deep Neural Networks on Edge Devices (Raspberry Pi).