Summary
Rami Al-naim is a Senior Software Engineer and tech lead with eight years of experience building high-performance backend systems, currently driving work at Solveva after five years developing high-load APIs and real-time GPS pipelines at StarLine. He combines deep Python and C++ expertise with practical experience in TimescaleDB/PostgreSQL, FastAPI, and custom C++ modules for the Valhalla routing engine to solve urban routing and traffic-analysis challenges. His research background from ITMO University — including co-authored indexed papers and a novel ETA prediction method — gives him a strong foundation in ML-for-urban-sciences that he applies to production systems. Based in Tbilisi and trained in mechatronics and computational mathematics, he brings a rare mix of robotics, computer vision, and backend engineering that surfaces in both research and scalable product work.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Computational and Applied Mathematics, Excellent, Master's degree, Computational and Applied Mathematics, Excellent at ITMO University
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, Excellent, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, Excellent at Университет ИТМО
English, Russian