● Identified, reproduced, and documented bugs and glitches, ensuring precise and actionable reports for development teams.● Conducted testing protocols on 6+ game titles across multiple platforms, scrutinizing game mechanics, UI/UX elements, and performance metrics to uncover pain points and areas for optimization.

● Developed a machine learning benchmark framework for the QoE team based on MLPerf, measuringperformance with BLEUs and time to completion, integrating Docker containerization.● Conducted validation and testing processes to ensure reliable and legitimate metrics of our custombenchmark across diverse hardware architectures, with a strong emphasis on AMD GPUs.● Utilized ROCm for integration with AMD hardware, overcoming compatibility challenges typicallyassociated with CUDA-centric machine learning frameworks.

● Mentored over 325 Programming Abstractions in Python students, teaching challenging concepts andguiding them to complex coding solutions for both Computer Science and non-technical majors.● Automated evaluations, providing prompt feedback and reducing grading time by more than 50%.

● Thoroughly playtest recent builds of upcoming titles ● Document bugs and errors found during testing● Evaluate user experience based on software quality