Utilizing C++ & OpenCL to develop, optimize, and validate Ray Tracing algorithms and kernels for simulating realistic lighting on mobile GPUs with AMD RDNA architecture. This includes multi-threading with low-latency and low-power consumption by using low-level C++ and Assembly.

• Worked on the Wafer-scale Machine Learning Accelerator, the largest chip ever built. It improves machine learning performance with reduced power consumption due to on-chip communication.

• Performed testing of the Accelerator system using Python, Assembly, C++, System Verilog.

• Used low-level C/C++ with register programming and a custom instruction set architecture.

• Created directed and random test benches, debugged regression failures and ran full-chip gate level simulations.

• Analyzed code coverage reports and used checkers and assertions.

• Created register specifications and models.

• Integrated into a self-organizing, agile team for the development of a RESTful-based software product.

• Involved in all aspects of software development, including: technical design, quality testing, and implementation in Java, Python and SQL.

• Collaborated with colleagues to triage and fix over 100 errors on the servers and achieved an employee award for our work.

• Assisted the team in Bogota, Colombia, with a project involving the maintenance of a foreign exchange product.

• Worked with a group of students and an esteemed lecturer to create an Audio Radar application for measuring the distance, velocity and position of objects in space.

• This entailed programming the transmitting signals and Doppler map using MATLAB.