Summary
Adam Cuculich is a senior software engineer based in Sunnyvale, California, specializing in high-performance optimization systems for DeFi and currently driving architectural improvements at Odos as part of the Algorithm Research team. He re-architected a trade-routing engine handling about 350 million quotes per day and roughly $300 million in daily volume, while integrating five novel AMMs and modeling their curves off-chain to optimize simulation-based routing. A systems thinker with a track record of slashing latency and operational overhead—reducing quote latency by 30%, cutting internal API calls by two-thirds, and lowering Redis throughput by 90%—he also built a reproducible algorithm benchmarking framework that isolates algorithmic effects on latency and yield. He led the loyalty backend delivering 250k requests per day and previously shipped cross-chain stablecoins spanning 9 EVM chains, with contracts designed to guarantee a $1 price and even paying his own paycheck in the currency. He is pursuing an MS in Computer Science with ML specialization at Georgia Tech, complementing a Mechanical Engineering BS from Purdue, and remains eager to tackle hard problems with teams that value deep engineering and math.
7 years of coding experience