Mark Anderson is a Senior Software Engineer with 11 years of experience building high-performance backend and distributed systems for AI/ML and ads platforms. He has driven production improvements at Meta and Securiti, including ML model anomaly alerting, ads A/B regression detection, and request-performance gains through Redis caching and multi-query APIs. His background spans hardware-accelerated ML stack work at Intel and AMD—where he delivered dramatic inference and training speedups—and hands-on benchmarking and device monitoring in PyTorch’s AIBench lab. Comfortable across Python, C/C++, JavaScript and DevOps tooling, he blends SRE rigor with deep performance analysis to optimize real-world ML workloads. Based in San Jose, he pairs practical production experience with a formal CS education and a knack for turning low-level profiling insights into measurable product improvements.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at San José State University
Associate's Degree for Transfer Mathematics and Computer Science, Associate's Degree for Transfer Mathematics and Computer Science at Mission College
Contributions:18 commits, 13 pushes, 1 branch in 4 months
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Mark Anderson - Senior Software Engineer at Anatomy Financial