Summary
Alexander Saites is a senior software engineer with 12 years of professional experience who builds high-impact systems spanning embedded, cloud, and desktop environments. He combines deep practical expertise in Rust, Go, Python, and systems integration with a master’s in ML/AI to accelerate datacenter and edge solutions—from FPGA-accelerated video inference to distributed RFID and IoT platforms. At Intel he drove major performance wins (10x CV frame rates, 80% training time reductions, and API latency drops from 2000ms to 20ms) and engineered reproducible developer workflows and test harnesses that slashed CI times. As an independent consultant he designs pragmatic automation and data-integration tools (including a Rust desktop app and Cargo contribution) that eliminate hours of manual work and improve data integrity for clients. Now at Rigetti Computing, he’s applying his background in ML systems and low-level integrations to quantum-focused engineering challenges. Colleagues rely on him for turning messy legacy workflows into observable, efficient, and well-documented production systems.
12 years of coding experience
13 years of employment as a software developer
Computer Science, Computer Science at Universität Dortmund
Master's Degree, Computer Science - Machine Learning and Artificial Intelligence, 4.0/4.0, Master's Degree, Computer Science - Machine Learning and Artificial Intelligence, 4.0/4.0 at University of Tennessee-Knoxville
English, German