Summary
Martynas Apanavicius is a seasoned software engineer with eight years focused on building resilient infrastructure for quantitative trading, algorithmic execution, and large-scale observability. He combines deep systems and SRE experience from roles at Uber and Trimble with hands-on quantitative-platform development as an independent practitioner, owning technical analysis, portfolio construction, and risk management stacks. Known for designing event-sourced microservices and reducing operational overhead through standardization and tooling, he bridges low-latency trading needs with robust production practices. His background in 3D graphics, parallel computing (including CUDA), and algorithmic game-theory research (CFR poker analytics) gives him an uncommon cross-domain perspective on performance and modeling. Based in Vilnius, he brings an engineer’s rigor to both infrastructure architecture and trading strategy implementation.
8 years of coding experience
12 years of employment as a software developer
Vilniaus Jėzuitų Gimnazija
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Vilniaus universitetas / Vilnius University
Lithuanian, English