Summary
Simon Orlovsky is a versatile software engineer in San Francisco with 11 years of experience building reliable, scalable backend systems, developer-facing APIs, and data-driven features across startups and growth-stage companies. He has a track record of high-impact optimizations—rearchitecting embedding storage for 10x speed and reliability and turning O(n^3) dashboard loads into O(n) for 500x faster UX—and has led integrations spanning Kafka event replays, Stripe billing, Plaid/ACH, and internationalization efforts. Comfortable across machine learning, web, mobile, and data workflows, he blends hands-on coding with systems architecture and CI/CD practice to ship robust, testable products. He’s contributed to developer platforms and AI tooling at companies like Athenic and AssemblyAI, and brings a practical teaching background from UC Berkeley Extension and Carleton that sharpens his ability to explain complex technical tradeoffs.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.) Computer Science, Bachelor of Arts (B.A.) Computer Science at Carleton College
Russian, Spanish