Experience and Projects
CERTIFICATIONS
Course-1: Python for Machine Learning (Click to see Certificate)
Academy: Great Learning (online)
Course-2: Basics of Machine Learning (Click to see Certificate)
Academy: Great Learning (online)
Course-3: Machine Learning (Currently enrolled)
Academy: Coursera/ Offered by Stanford University (online)
EXPERIENCE
Professional Experience:
Graduate Assistant
University Teknologi PETRONAS, Malaysia
October 2019 – March 2020
Graduate Research Assistant
University Teknologi PETRONAS, Malaysia
April 2020 – August 2021
Graduate Assistant
University Teknologi PETRONAS, Malaysia
September 2021 – Present
Teaching Experience:
Lab Supervision:
Subject: Introduction to Computer Programming.
Course Level: Undergraduate (Bachelors)
University Teknologi PETRONAS, Malaysia.
Semester 1 – 2019 [On-Campus]
Subject: Cloud Computing (TDB4423).
Course Level: Undergraduate (Bachelors)
University Teknologi PETRONAS, Malaysia.
Semester 1 – 2020 [On-Campus & Online via Microsoft Teams]
Semester 2 – 2020 [On-Campus & Online via Microsoft Teams]
Subject: Probability and Random Process (EEB2033).
Course Level: Undergraduate (Bachelors)
University Teknologi PETRONAS, Malaysia.
Semester 1 – 2021 [On-Campus & Online via Microsoft Teams]
Subject: Structure Algorithm and Programming (FBT0015).
Course Level: Undergraduate (Bachelors)
University Teknologi PETRONAS, Malaysia.
Semester 2 – 2020 [On-Campus & Online via Microsoft Teams]
Semester 2 – 2021 [On-Campus & Online via Microsoft Teams]
CTI Lecturer:
Subject: Math & Physics.
Course Level: Undergraduate (Bachelors)
Government Post Graduate College, Rojhan, Pakistan.
September 2018 – July 2019
Industrial Experience:
Trainee Engineer (Internship)
GUDDU Thermal Power Plant, Pakistan.
July 2015 – August 2015
PROJECTS
Title: Fast Failure Recovery of Software Defined Networks with Robustness-Aware Rule Placement Scheme.
Funding Agency: Ministry of Higher Education, Malaysia.
Organization: University of Technology PETRONAS, Malaysia.
Period: March 2020 August 2021.
Tools Used: Mininet, POX Controller, Open vSwitch version 1.0, Origen, LaTeX.
Description: This work's aim was to provide an efficient algorithm that, minimizes the recovery time delay by implementing the community detection method for both single and multiple link failure scenarios in SDN.
Title: Smart Grid Control Panel Simulator by using GSM Module.
Organization: COMSATS University Islamabad, Wah Campus, Pakistan
Designation: BS Final Year Project
Tools Used: GSM Module, Arduino MEGA, MATLAB, Proteus.
Description: This was an undergraduate final year project. The objective of this work was to scale down a simple 11kv grid station into a smart grid control panel simulator by using GSM Module, Arduino UNO, MATLAB, ZigBee, Proteus.