Summary
Overview
Work History
Education
Skills
Languages
Hobbies and Interests
Timeline
Generic
Muhammad Jamshaid Iqbal

Muhammad Jamshaid Iqbal

Darmstadt

Summary

Recent graduate with a strong background in electronics circuit design and analysis, embedded systems, and machine learning. Proficient in developing and optimizing embedded AI and computer vision applications. Driven by a passion for innovation and an unwavering enthusiasm for ongoing learning. Seeking an opportunity to contribute in a dynamic, multidisciplinary environment that encourages daily growth and development.

Overview

3
3
years of professional experience

Work History

Master Thesis

EFE GmbH
08.2024 - 02.2025
  • Developed and implemented a machine learning algorithm for RF cellular signal classification on the Cortex-M4, achieving 99.5% accuracy.
  • Experienced with RF signal properties, Embedded C/C++, Python, Edge AI, TinyML, UART, ADC, DMA, MCUXpresso IDE, TensorFlow, Keras, and Google Colab.

Working Student

EFE GmbH
06.2024 - 07.2024
  • Embedded software development for RF signal detection, processing, and analysis.
  • Experienced with C/C++, ARM Cortex-M4, NXP MCUs, and FreeRTOS, with teamwork skills.

Tutor

Networked Embedded Systems Lab at TU Darmstadt
10.2023 - 03.2024
  • Tutored embedded software development and demonstrated applications on the Riotee Board.
  • Programming and debugging in C (Bare Metal), utilizing SPI, I2C, UART, BLE, timers, and PWM.

Working Student

FRAUNHOFER IGD
10.2022 - 01.2024
  • Developed C++ software for facial recognition and feature extraction for identification.
  • C++, Linux, CLI, computer vision, OpenCV, MTCNN, Dlib, Visual Studio, Atom, and image processing.

Student Assistant

TU Darmstadt
05.2022 - 01.2024
  • Developed strong communication and analytical skills with experience in Microsoft Office and VBA.

Design of BGR

TU Darmstadt
04.2022 - 09.2022
  • Designed schematic and layout of OpAmp and BGR in Cadence Virtuoso.
  • Experienced in Cadence Virtuoso for circuit design and optimization.

Education

Master of Science - Information and Communication Engineering

TU Darmstadt
Darmstadt, Hessen
02.2025

Bachelor of Science - Electronics Engineering

University of Engineering and Technology (UET)
10.2018

Skills

  • C/C, Python programming
  • Microcontrollers and Microprocessors
  • Embedded AI
  • Computer Vision, OpenCV
  • Machine Learning, TensorFlow
  • Electronics Circuits Design and Analysis
  • Cadence Virtuoso - circuit design
  • LTspice
  • Matlab/Simulink, Verilog
  • Linux, Windows
  • FreeRTOS, BareMetal
  • Git, GitHub, GitLab

Languages

English
Advanced (C1)
German
Intermediate (B1)
Urdu
Bilingual or Proficient (C2)

Hobbies and Interests

  • Travelling
  • Cricket
  • Football
  • PS Games

Timeline

Master Thesis

EFE GmbH
08.2024 - 02.2025

Working Student

EFE GmbH
06.2024 - 07.2024

Tutor

Networked Embedded Systems Lab at TU Darmstadt
10.2023 - 03.2024

Working Student

FRAUNHOFER IGD
10.2022 - 01.2024

Student Assistant

TU Darmstadt
05.2022 - 01.2024

Design of BGR

TU Darmstadt
04.2022 - 09.2022

Bachelor of Science - Electronics Engineering

University of Engineering and Technology (UET)

Master of Science - Information and Communication Engineering

TU Darmstadt
Muhammad Jamshaid Iqbal