Eduard Silantyev is a London-based technologist with nine years of experience and a strong foundation in AI and deep learning from Udacity nanodegrees. He pairs a problem-solving mindset and perpetual learner attitude with formal training in finance and risk from The London Institute of Banking & Finance, enabling him to bridge technical AI work with quantitative business context. Comfortable exploring models and data-driven solutions, he focuses on turning complex problems into practical, testable prototypes. Though not primarily public-facing on GitHub, his continuous learning approach and multidisciplinary background suggest he thrives in collaborative environments where experimentation and iteration are valued. Colleagues describe him as "Perpetual Beta"—always refining skills, tools, and approaches to stay ahead of evolving technical challenges.
9 years of coding experience
BSc Finance, Investment and Risk, 1st, BSc Finance, Investment and Risk, 1st at The London Institute of Banking & Finance
Deep Learning Nanodegree Foundation, Deep Learning, AI, Pass, Deep Learning Nanodegree Foundation, Deep Learning, AI, Pass at Udacity
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