Rabia Khalid

Bis 2024, AI Researcher, DeltaX

Studentin, Masters in AI Engineering of Autonomous Systems, Technische Hochschule Ingolstadt

Munich, Deutschland

Über mich

Experienced AI Engineer skilled in developing advanced algorithms for IoT, Machine Learning, Deep Learning, and Computer Vision applications using Python.

Fähigkeiten und Kenntnisse

Deep learning
Machine Learning
TensorFlow
PyTorch
Data Science
Computer Vision
Artificial intelligence
Python
Neural Networks

Werdegang

Berufserfahrung von Rabia Khalid

  • 1 Jahr und 3 Monate, Dez. 2022 - Feb. 2024

    AI Researcher

    DeltaX

    - Developed detection and classification models for ICMS in collaboration with Hyundai. - Led hand gesture-based IoT control applications. - Engineered algorithms for KIA Smart Factory and KIA Logistics Center, improving quality control.

  • 2 Jahre und 6 Monate, Juli 2018 - Dez. 2020

    Assistant Manager

    R&D Organization

    - Processed RADAR signals and optimized target recognition and localisation algorithms. - Implemented FPGA-based clutter map for detecting slow-moving targets.

Ausbildung von Rabia Khalid

  • Bis heute 4 Monate, seit März 2024

    Masters in AI Engineering of Autonomous Systems

    Technische Hochschule Ingolstadt

  • 2 Jahre, Sep. 2020 - Aug. 2022

    Masters in Construction Engineering Management (using AI & IoT)

    Chung-Ang University

    Thesis: Tag & IoT Sensors Based Fall Prevention Approach: A Case Experiment at Scaffolding Work Zone (funded by Government of Korea) Research Assistant @Construction Technology and Innovation Lab: (Part time) -Developed safety assurance technology for construction site workers and achieved ground breaking protective fall arrest system, revolutionising worker safety during elevated tasks on ladders and scaffolds. Scholarship: Chung-Ang Young Scientist Scholarship - 2 years Grade: 4.18/4.5

  • 3 Jahre und 10 Monate, Sep. 2014 - Juni 2018

    Bachelor's in Electrical Engineering

    Pakistan Institute of Engineering and Applied Sciences

    Thesis: Deep Learning based Vehicle Detection from the Aerial Imagery of Quadcopter (funded by National Engineering & Scientific Commission) Scholarship: NESCOM Fellowship - 3 years Grade: 3.67/4.0

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