About Sai Karthik Vyas Akondi

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    United States
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About me

I am a robotics engineer who enjoys connecting the dots between ideas, people, and applications from different disciplines, fields, and industries. I am currently pursuing my master’s degree in robotics from University at Buffalo, where I am learning about robotic algorithms, ROS, Arduino, Raspberry Pi, and neuroscience applications.

Previously, I worked as a PS Engineer I at NCR Corporation, where I tested and evaluated software components of the Self-Serve Checkout product, monitored network interfaces, and overhauled system efficiency. I also collaborated with an international cross-functional team to develop a roadmap for the POS migration of the product to Microsoft Azure, and standardized the documentation process of the SATE automation tool. In addition, I have skills in Python, CSS, Bootstrap, and deep learning, and I am certified by Coursera in neural networks and deep learning, structuring machine learning projects, and improving deep neural networks. I am looking forward to working in fields where robotics and biomedical engineering intersect, and contributing to innovative and impactful solutions.

Education

Experience

  • 2023 - Present
    NaviTest

    Founder

    Remote –
    • Initiated and currently leading the development of an open source platform for autonomous vehicle and
    ADAS feature testing utilizing video inputs
    • Built the preliminary skeleton of the website, with ongoing efforts focused on enhancing backend
    functionalities integrating computer vision for increased effectiveness and user experience

  • 2021 - 2022
    NCR Corporation − Hyderabad, IN

    QA Engineer

    • Developed a device driver for the Amazon-one device, integrating the pay with palm feature with the
    self-serve checkout system
    • Reported 170 bugs, 12 improvements, and resolved 27 firmware issues, improving overall product quality
    by 32%
    • Planned, formulated, and executed 1500 test scenarios to confirm quality conformance to requirements
    • Improved smoke, sanity, and regression test suites and automated 80% of regression test suites using
    in-house SATE automation tool,which was used for the first time for a Self-Service Checkout product

Skills

c Confluence CSS Gazebo HTML Integration Testing JIRA Jupyter Matlab OpenCV python Pytorch qTest Regression Testing ROS Selenium Test Planning Unit Testing VMware Writing and Executing Test cases Zephyr
 
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