Fazal Ur Rehman F.

Software Engineer

Lübeck, Germany

Experience

Dec 2023 - Present
1 year 11 months
Lübeck, Germany

Software Engineer

Majelan X (formerly Gestigon, a Valeo brand)

  • Built a radar algorithm for underbody life sensing and intrusion detection, improving vehicle safety.
  • Implemented gesture recognition algorithms for autonomous shuttles, enhancing HMI accuracy.
  • Contributed to a life presence detection (P1 project) for in-cabin safety.
  • Applied deep learning in a digital twin framework to improve virtual testing fidelity.
Jul 2022 - Oct 2023
1 year 4 months
Korea, Republic of

Radar Software Engineer

LS Automotive

  • Developed and validated radar signal processing algorithms for object detection and classification.
  • Applied machine learning for real-time object tracking, improving detection performance under complex environments.
  • Collaborated with cross-functional teams to integrate software and hardware, optimizing overall radar system accuracy and stability.
Sep 2020 - Jun 2022
1 year 10 months
Gwangju, Korea, Republic of

Graduate Student Researcher

Chosun University

  • Developed deep learning frameworks for Alzheimer’s Disease detection using whole-brain MRI data.
  • Improved model accuracy and efficiency through hybrid feature selection and transformer-based architectures.
  • Published research in IEEE Access and the Journal of Korea Multimedia Society, advancing Medical AI applications.
Jun 2015 - Jun 2017
2 years 1 month
Karachi, Pakistan

Research Assistant, Electrical Engineering Department

Bahria University

  • Supported an Intelligent Transportation System (ITS) project, analyzing and simulating traffic data for urban optimization.
  • Developed machine learning algorithms for adaptive traffic signal control, reducing average travel time by 12%.
  • Assisted in data collection, system testing, and report documentation for project deliverables.

Summary

Radar & AI Systems Engineer with 4+ years of international experience in automotive radar, machine learning, and ADAS development. Skilled in algorithm design, signal processing, and deep learning for autonomous systems. Delivered solutions that enhanced radar detection performance by 20% and accelerated prototype-to-deployment cycles by 15%.

Languages

Urdu
Native
English
Advanced
Korean
Intermediate

Education

Oct 2020 - Jun 2022

Chosun University

Master’s Degree · Information & Communication Engineering · Korea, Republic of

Oct 2013 - Jun 2017

Bahria University

Bachelor’s Degree · Electrical (Electronics) Engineering · Pakistan

Certifications & licenses

Automotive Radar

Udemy

CC Domain 1-5

(ISC)²

Foundation Of Generative AI

Udacity

Machine Learning

Coursera

Project Management Fundamentals

IBM

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