Summary
Elzhan Zeinulla is a Quantitative Technologist based in London with nine years of software engineering experience spanning finance, search, robotics, and research. He blends production-grade systems work at Bloomberg and Qube with academic research in deep learning and novel ensemble methods, publishing at top IEEE venues. Skilled across algorithms, Unix-like systems, DevOps, and full-stack development, he has a track record of performance-driven optimizations—e.g., dramatically accelerating robotic vision pipelines and leading a cross-functional team to ship a B2B marketplace. Comfortable in both fast-paced industry and research settings, he thrives on competitive challenges and continuous learning, as reflected by his terse GitHub motto while(!(succeed = try()));. Colleagues rely on him to turn complex requirements into efficient, testable implementations and to bridge ML research with production realities.
9 years of coding experience
6 years of employment as a software developer
Design thinking: From insights to innovations, Design thinking: From insights to innovations at Sberbank Corporate University, Moscow
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Nazarbayev University
English, Russian, Kazakh