Muhammad Hassan

Angestellt, Master Thesis Student, ROSEN Group
Paderborn, Germany

Fähigkeiten und Kenntnisse

Machine Learning
Computer Vision
Python
TensorFlow
Keras
AWS
C++
PyTorch
OpenCV
SciPy
Matplotlib
SQL
scikit-learn
NumPy
FASTAPI
GIT
Pandas
Docker
Jenkins
CI/CD
Apache Kafka
MongoDB
GenerativeAI
Large Language Models
RAGs
Prompt Generation
Hugging Face Transformers
MLFlow
Apache Spark
PostgreSQL

Werdegang

Berufserfahrung von Muhammad Hassan

  • Current

    Master Thesis Student

    ROSEN Group

  • 1 year and 4 months, Jun 2019 - Sep 2020

    Team Lead

    Adaptive Signal Processing Lab, Nust

  • 10 months, Jun 2018 - Mar 2019

    Senior Design Engineer

    Technology Spirits (Pvt.) Limited

  • 7 months, May 2017 - Nov 2017

    Research Associate

    Rosen Technology And Research Center

  • 2 months, Jun 2013 - Jul 2013

    Internship

    Pakistan Telecommunication Company Limited

    Department of Transmission, VoIP & Optical Fiber Cable • Worked on transmission system of Huawei & introduction to Huawei switching system • Studied the basic setup of telephone network, the protocols used in NGN & test equipment used in optical fibers

  • 5 months, Feb 2013 - Jun 2013

    Internship

    Wisdom Wheel (Pvt) Limited

    Design, Development & Automation of Computer Numerical Control Wood Router • Designing the prototype of wood router on Solid Works • Software & electronic development using Computer Aided Design (CAD) & Computer Aided Machine (CAM) software to design patterns • Automation of mechanism using stepper motors running through TB6560 micro controller

Ausbildung von Muhammad Hassan

  • 2 years and 9 months, Apr 2015 - Dec 2017

    Electrical Systems Engineering

    Universität Paderborn

    Statistical Learning & Pattern Recognition, Topics in Pattern Recognition & Machine Learning, Statistical Signal Processing, Digital Image Processing, Advanced Systems Theory, Robotics, Management of Technical Projects

  • 3 years and 11 months, Aug 2010 - Jun 2014

    Electrical Engineering

    Center for Advanced Studies in Engineering (CASE)

    Control Systems, Industrial Automation, Wireless Communication, Digital Communication, Communication Systems, Digital Signal Processing, Engineering Project Management

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

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