Shayan Monshizadeh
Member Of Technical Staff at Arena
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolShayan Monshizadeh is a Member of Technical Staff based in San Francisco with 12 years of engineering experience spanning cloud infrastructure, applied AI, and scalable data systems. He built core features of Amazon S3 at AWS, led applied AI work at Merge, and currently contributes to Arena’s engineering efforts while pursuing a BSE in Computer Science at Princeton. Comfortable across Scala, Java, and data science workflows, he has delivered production ML tooling including a data labeling platform that supported 1000+ concurrent users. His background blends low-level, security-conscious engineering (edge encryption at ServiceNow) with large-scale distributed systems and applied machine learning. Colleagues know him for shipping reliable, high-throughput services and for translating research-minded approaches into production-ready solutions.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science and Engineering , Computer Science, Bachelor of Science and Engineering , Computer Science at Princeton University
English, Persian, Spanish
Github Skills (42)
loess10
seasonal-adjustment10
decomposition9
chrome-extension8
trend8
browser-extension7
firefox-addon7
java7
salat7
chrome6
servicenow6
time-series6
visualizations5
highcharts5
science5
Programming languages (3)
Github contributions (5)
shayanlinux/stl-decomp-4j
Nov 2017 - Apr 2023
Java implementation of Seasonal-Trend-Loess time-series decomposition algorithm.
Contributions:4 pushes in 5 years 6 months
decompositiondecomposition-algorithmseasonalseasonal-trend-loesstrend
AMCeScience/Rosemary-Vanilla
May 2016 - Jun 2016
Contributions:171 commits, 2 PRs, 72 pushes in 1 month
sciencegateway
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