Summary
Mikhail Khodin is a seasoned software engineering leader with 8+ years in full-stack and trading systems development, currently directing developer teams for agency trading at UBS in Hong Kong. He has deep domain expertise in financial services and crypto trading platforms, shipping low-latency, highly available systems using C#, .NET, Kafka, FIX, and cloud container tooling. His background spans hands-on work from market data aggregation and execution management to ML-driven anomaly detection and social media signal processing, showing a rare blend of quantitative tooling and pragmatic engineering. Mikhail moves between architecture, performance tuning and frontline coding—often standardizing and modernizing legacy stacks—and has led distributed teams across APAC and Europe. He holds degrees in applied math/computer science and is pursuing further study in ML/AI, reflecting a continual focus on marrying algorithmic insight with production reliability. An unexpected strength is his history of building both embedded and enterprise WPF clients as well as web-first dashboards, giving him fluency across UI paradigms.
9 years of coding experience
16 years of employment as a software developer
BSc Computer Science, Machine Learning and Artificial Intelligence, BSc Computer Science, Machine Learning and Artificial Intelligence at University of London
BSc Computer Science, Applied Mathematics and Informatics, BSc Computer Science, Applied Mathematics and Informatics at Moscow Aviation Institute (National Research University)
English