Muhammad Moaz

Application Engineer Intern at Lakeside Process Controls
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Location
Winnipeg, Manitoba, Canada, CA
Languages
  • English Professional working proficiency
  • Urdu Native or bilingual proficiency
  • Punjabi Native or bilingual proficiency
  • Hindi Native or bilingual proficiency

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Credentials

  • Modeling and System Design Techniques for Electrical Design
    Autodesk
    Sep, 2023
    - Sep, 2024
  • Engineer In Training
    Engineers Geoscientists Manitoba
    Nov, 2020
    - Sep, 2024
  • University Immersion Program
    Sichuan University
    Jul, 2018
    - Sep, 2024
  • Microsoft Office Specialist Excel 2013
    Microsoft
    Dec, 2017
    - Sep, 2024
  • Microsoft Office Specialist Word 2013
    Microsoft
    Dec, 2017
    - Sep, 2024
  • International Kangaroo Mathematics Contest (Silver Medalist)
    Oxford University Press, Inc.

Experience

    • Canada
    • Industrial Machinery Manufacturing
    • 200 - 300 Employee
    • Application Engineer Intern
      • Aug 2023 - Present
    • Canada
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant Embedded Systems Design
      • Jan 2023 - May 2023

      • Supervised students with Laboratories and Projects • Used C, PIC Microcontroller, DAC, FIFO, LCD, GPIOExpander• Worked closely with 6 students to help them understand course concepts like Timers, Interrupts, DACs, GPIOExpanders, FIFO and troubleshoot problems with their hardware and Software.• Demonstrated knowledge and experience with embedded systems design and related tools and technologies like Signal Processing, Waveforms with DACs, Noise Injection and Data Recovery.• Demonstrated strong communication and interpersonal skills in interacting with students, colleagues,and instructors and worked with communication protocols like SPI and I2C. Show less

    • Graduate Research Assistant
      • Sep 2021 - May 2023

      • Generating Synthetic Data via Reinforcement Learning to Help Assess MCI using Maze Puzzles• Researched at MCI, and Reinforcement Learning and used Python, Reinforcement Learning.• Emulate a serious game and generate synthetic data with Reinforcement Learning.• Conjectured game play data provide insight in cognitive difficulties.• Generated synthetic data can be used to help classify game play and help validate the use of these types of MCI assessment methods.

    • Teaching Assistant Digital Systems Design
      • Jan 2022 - May 2022

      • Supervised students with Laboratories and Projects• Used C, ARM Cortex M4, DAC, FIFO, ADC, UART• Worked closely with 30 students to help them understand course concepts and troubleshoot problems with their hardware and Software.• Demonstrated knowledge and experience with digital systems design and related tools andtechnologies like Finite State Machines, Microcontroll I/O, UART, Interrupts.• Demonstrated strong communication and interpersonal skills in interacting with students, colleagues,and instructors. Show less

    • Pakistan
    • Appliances, Electrical, and Electronics Manufacturing
    • 1 - 100 Employee
    • Engineering Trainee
      • Jun 2019 - Nov 2019

      • Design and analysis of Electrical Power Distribution Systems using SLDs, ETAP, SKM, GIS, PLCs and HMI • Design and analysis of distribution systems, substation layouts, and protection schemes. • Knowledge of industry standards and codes, such as the National Electrical Code (NEC) and IEEEstandards. • Experience with power system equipment including transformers, switchgear, and protective relays. • Design and analysis of Electrical Power Distribution Systems using SLDs, ETAP, SKM, GIS, PLCs and HMI • Design and analysis of distribution systems, substation layouts, and protection schemes. • Knowledge of industry standards and codes, such as the National Electrical Code (NEC) and IEEEstandards. • Experience with power system equipment including transformers, switchgear, and protective relays.

    • Pakistan
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Research Assistant
      • Jun 2018 - May 2019

      • Researched on Intrusion Detection System with Machine Learning • Successfully built an application to detect intrusion into systems with more than 90% accuracy. • Researched on Intrusion Detection System with Machine Learning • Successfully built an application to detect intrusion into systems with more than 90% accuracy.

Education

  • University of Manitoba
    Master of Engineering - MEng, Electrical and Computer Engineering
    2020 - 2023
  • National University of Sciences and Technology (NUST)
    Bachelor of Electrical Engineering, Electrical and Electronics Engineering
    2015 - 2019

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