Khalia Spear is an emerging software engineer and computer science student based in Atlanta with three years of hands-on experience building and optimizing AI tooling through multiple Microsoft internships. She contributed to ONNX Runtime improvements, transformer optimization in C++, and parity testing for Mixture of Experts models, demonstrating a strong focus on model performance and deployment. Now working as a Student Data Clerk while finishing her degree at Spelman College, she blends practical data handling with systems-level engineering experience. Khalia is passionate about software engineering, data analytics, and cybersecurity, and seeks full-time roles where she can continue learning and shipping impactful solutions. Notably, her internship work bridged research-quality model techniques with production runtime considerations, giving her uncommon exposure to both prototyping and integration.
2 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Spelman College
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:6 reviews, 3 PRs, 1 push in 2 months
runtimetrainingtensorflowai-frameworkaccelerator
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