Summary
Anastasia Pashkova is a results-driven software engineer with nine years of experience building scalable, performance-focused systems across finance and cloud platforms. She blends deep quantitative and engineering skills—M.S. in Industrial Engineering & Operations Research and a B.S. in Computer Science and Mathematics—to implement Monte Carlo-based risk models, mixed-integer optimization, and high-throughput production services. At Goldman Sachs and Calypso she led CVA module design, performance optimizations and automated regression testing, and more recently at GitHub she cut a 13+ hour enterprise upgrade to 2 hours by intelligently caching firewall rules. Comfortable across Java, Ruby, cloud services and data exploration tools, she navigates cross-functional stakeholder needs from quants to ops to deliver practical, auditable solutions. Based in San Francisco, she pairs a strong academic foundation with a pragmatic focus on measurable impact and operational reliability.
9 years of coding experience
11 years of employment as a software developer
M.S., Industrial Engineering and Operations Research, M.S., Industrial Engineering and Operations Research at University of California, Berkeley
Hunterdon Central High School
B.S, Computer Science, Mathematics, German, B.S, Computer Science, Mathematics, German at Rutgers University
German, Russian