Experience

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  Freightera - A Better Way to Ship Freight

  • Canada
  • Transportation/Trucking/Railroad
  • 1 - 100 Employee

  • Interim COO

    • Mar 2024 - Present

  • Head of Product

    • Mar 2022 - Present

  • Business Analyst

    • Oct 2021 - Jun 2022

  • QA Automation Lead Engineer, Mid-Level Developer

    • Sep 2019 - Nov 2021

  • Jr. Lead QA Automation Engineer

    • Jan 2019 - Sep 2019

  • Jr. QA Engineer/Developer

    • Sep 2018 - Dec 2018

    I am responsible for developing Test Automation using Java, Jenkins, Selenium, and JUnit framework as well as also setting up and maintaining a CI/CD pipeline to ensure no new bugs are introduced to the core functionality of the Web application. Currently, I am developing a sophisticated AI and Parallel algorithm to stimulate a stream of concurrent users trying to use the system at the same time to expose system bottleneck and generate an accurate report on where/why/when a test is failing along with unexpected error recovery as well as taking advantage of Google API and Slackbot to enhance communication between stakeholders.● Reduced automated test run time in some case from 30 minutes down to 2 minutes through logic optimization● Implemented a data validation test to detect any unwanted changes along with data integrity verification● Conducted vulnerability assessment using Kali Linux● Developed a Slackbot in JavaScript to monitor various system uptime and notify the system administrator if attention required using a custom false-positive filter. Also, helped to enhance coordination between team members as well as investigate on customer-specific issued● Performed easy to intermediate web developing tasks in Laravel

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  Personal Projects

  • Vancouver, Canada Area

  • Reverse Engineer

    • Apr 2017 - Dec 2017
    • Vancouver, Canada Area

    ● Designed and developed aimbot and visual assistance to aid YouTube and Twitch game streamer with their daily gameplay ● Reversed engineer world-leading Endpoint Detection and Response (EDR) anti-cheat systems and successfully developed a working bypass within 2 weeks using various window driver exploit ● Archived zero-banned record ● Analyzed new updates, detection vectors as well as combatted machine learning to prevent users from getting banned while identifying new window vulnerability