Salvatore Dipietro is a senior software development engineer at AnnapurnaLab (Amazon) and a PhD candidate at Imperial College London researching performance modelling and cost-aware optimization for NoSQL systems. He developed a stochastic performance model for Cassandra and ScyllaDB and created PAX, an elastic auto-scaler that profiles resource use and partitions to cut operational costs by up to 60%. With a decade-plus industry background spanning cloud consulting, Linux systems, and web development, he blends rigorous research with production engineering across cloud and embedded systems. Based in Sunnyvale, he brings strong analytical skills and a track record of turning theoretical models into practical, cost-saving infrastructure tools. An uncommon strength is his ability to span low-level systems work and high-level capacity planning, making him effective at both implementation and operational strategy.
3 years of coding experience
12 years of employment as a software developer
Certificate Web/Multimedia Management and Webmaster, Certificate Web/Multimedia Management and Webmaster at CSEA
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Imperial College London
Cisco CCNA Training System Networking and LAN/WAN Management/Manager, Cisco CCNA Training System Networking and LAN/WAN Management/Manager at Forte Chance
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Politecnico di Torino
High School Diploma Secondary school focusing on Science, High School Diploma Secondary school focusing on Science at Ettore Majorana Torino
Master’s Degree Msc Computer Security and Forensics, Master’s Degree Msc Computer Security and Forensics at University of Bedfordshire
A library implements REDIS commands(Strings, Hashes, Lists, Sorted Sets, Sets, Keys, HyperLogLog) based on rocksdb
Contributions:17 pushes, 6 branches in 28 days
redisrocksdbsorted-listssorted-setsstrings
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