Michail Alvanos is a software engineer with a decade of experience building low-latency trading platforms, broker connectivity, and high-performance computing solutions. He combines hands-on expertise in FIX/REST trading stacks, MT4/MT5 integrations, and thread-level monitoring with deep background in GPU acceleration and computer architecture from academic and research roles. Michail has applied parallel and distributed systems knowledge to both finance and scientific computing—accelerating FORTRAN climate models with CUDA and designing power-efficient micro-server experiments. Now at Azul, he continues to blend systems-level optimization with production trading reliability, often surfacing subtle performance bottlenecks that others overlook. His profile reflects a rare mix of production trading systems delivery and research-grade HPC experience rooted in advanced degrees and collaborations with institutions like IBM and the Barcelona Supercomputing Center.
10 years of coding experience
14 years of employment as a software developer
Master of Science (MSc), Parallel and Distributed Systems, Computer Architecture and VLSI, Master of Science (MSc), Parallel and Distributed Systems, Computer Architecture and VLSI at University of Crete
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