Nathan Heskia is a Senior Software Engineer with 11 years of experience building backend systems and APIs for high-scale cloud and SaaS products, currently focused on AI product development at Vanta in San Francisco. He holds a BS in Mathematics and Computer Science from UT Austin and has practical machine learning and networking coursework, giving him a strong foundation for data-driven engineering. Nathan designed and shipped core APIs and deployment tooling at AWS for Amazon Athena, improved streaming throughput by 20%, and has built billing and subscription systems at Sentry and imgix. He excels at translating cross-functional business needs into reliable backend services, having partnered with finance, sales, and data teams to operationalize revenue and checkout workflows. Known for pragmatic optimization and launch expertise, he’s comfortable guiding region launches and synchronizing distributed systems across teams. Outside typical backend work, his mix of math, ML education, and hands-on cloud experience suggests an eye for both algorithmic and operational improvements.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics and Computer Science, Bachelor of Science (B.S.) Mathematics and Computer Science at The University of Texas at Austin
Computer Networking, Computer Networking at Bradfield School of Computer Science
Practical Machine Learning, Practical Machine Learning at UC Berkeley Extension
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