Ivan Ereshchenko is an associate software engineer with eight years of hands-on experience building data-driven web applications and ML tooling, currently at Goldman Sachs after progressing from analyst to associate. Trained at Imperial College London in Computer Science, he blends full-stack skills (React, TypeScript, Python) with production deployment experience (Docker, Kubernetes, Azure) and strong data engineering practices around PostgreSQL. His background includes building scalable scrapers and databases that handled billions of backlinks, high-performance visualisations for 100,000s of datapoints, and applied time-series models and neural networks for outlier detection in energy data. Comfortable across the stack, he’s also delivered practical automation—such as Twilio-driven customer support flows and best-selling chatbot products—showing a knack for shipping impactful tools that reduce operational friction.
8 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Imperial College London
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