Charlie Phillips is a software engineer and Carnegie Mellon Computer Science student specializing in computer systems, with hands-on experience building high-performance and distributed systems at Optiver and Argo AI. He has focused internships and now a full-time role at Optiver working on low-latency trading infrastructure and algorithmic strategy optimization, bringing practical expertise in networking, concurrency, and lockless data structures. At CMU he deepens systems knowledge through coursework like Operating Systems and hones offensive security skills via the Plaid Parliament of Pwning, giving him a unique perspective on robustness and exploitation. Proficient in C++, Python, and SQL, Charlie combines systems-level thinking with quantitative interests and a clear aim to drive measurable performance improvements in high-frequency trading. Based in Pittsburgh, he pairs academic rigor with production experience and a track record of shipping optimized, concurrent systems.
10 years of coding experience
3 years of employment as a software developer
Suncoast Community High School
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Carnegie Mellon University
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