Summary
Arash Delijani is a research-focused software engineer with nine years building ML infrastructure and data systems across startups and large tech. He combines academic rigor from an MIT BS/MS in Computer Science with hands-on experience at Twitter (ML training and evaluation infra) and early-stage impact as a founding engineer at Semgrep, where he helped scale GitHub-scale static analysis. Currently at Harvey, he bridges research and engineering to move models and tooling toward production-ready workflows. His background spans consulting, anomaly detection work at Cask, and machine vision research at the MIT Media Lab, reflecting a mix of product-facing engineering and experimental research. Comfortable across the stack, he’s especially interested in ML infra challenges like training, evaluation, and scalable code-analysis pipelines. Though now based in New York, his career includes time in the SF Bay Area and Vancouver, highlighting a global perspective on building ML systems.
9 years of coding experience
7 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at Massachusetts Institute of Technology