Ing. Moheed Ali Kayani

Bis 2023, Research Intern, Cedric Lab - Le CNAM
Student, Computer Networks and IoT Networks, Conservatoire National des Arts et Métiers
Paris, Frankreich

Fähigkeiten und Kenntnisse

Machine Learning
Software Development
C/C++
Java
Engineering
Python
Data Science
Computer Vision
Git
CSS
Internet of Things
Computer Networks
TensorFlow
Database
Agile Development
Ns 3
Android
Docker
Linux
Simulation
Keras
Creativity
Accuracy
Communication skills
Flexibility
willingness to learn
Presentation skills
Reliability
Team work
Commitment
ambitious
Problem Solving

Werdegang

Berufserfahrung von Moheed Ali Kayani

  • 4 Monate, Juni 2023 - Sep. 2023

    Research Intern

    Cedric Lab - Le CNAM

    • As a research intern, I am actively involved in the integration of mobile LoRaWAN devices into NS3 for simulating and analyzing mobile LoRaWAN networks. • My responsibilities encompass conducting research, developing simulation components, and optimizing network performance to replicate real-world scenarios. • This internship enables me to contribute to advancements in IoT connectivity while gaining valuable experience in wireless network simulation.

  • 6 Monate, Sep. 2021 - Feb. 2022

    Machine Learning Engineer Intern

    Punjab Safe City Authorities Lahore

    • Conducted data preprocessing to prepare and clean the dataset for training. • Trained and fine-tuned the TensorFlow object detection models on the preprocessed data. • Optimized the model's hyperparameters to achieve a balance between accuracy and efficiency. • Collaborated with the team to integrate the trained models into the real-time vehicle detection system

Ausbildung von Moheed Ali Kayani

  • Bis heute 3 Jahre und 2 Monate, seit Sep. 2022

    Computer Networks and IoT Networks

    Conservatoire National des Arts et Métiers

    The master teachers include world-class academics and industry experts active in the master technical areas on international, European and national collaborative and industrial research projects (H2020, ANR), standardization and open-source bodies (ONF, IETF, ETSI).

  • 3 Jahre und 10 Monate, Okt. 2018 - Juli 2022

    Software Engineering

    The Superior University Lahore

    Superior University’s BS Software Engineering program puts special emphasis on developing professional programming and testing skills in Software Engineering, which is at the heart of the success of many of today’s businesses. After developing solid foundations in mathematics and computer science, the excellent faculty prepares the students to successfully implement and manage the development, maintenance, and evolution of integrated software solutions and automation products.

Sprachen

  • Englis

    Fließend

  • Urdu

    Muttersprache

  • French

    Grundlagen

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