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Description

Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. Possesses 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust. Thrives at the intersection of complex math and low-level systems, having worked across multiple heavy domains. Deep experience building high-performance database proxies, modeling financial risk, and architecting LLM agentic workflows, alongside applied work in audio and image processing. Holds a PhD in mathematics (topological data analysis, representation theory), MSc finance, and MSc neuroscience. Actively exploring remote or relocation opportunities where deep mathematical background and backend developer skills can be applied to hard engineering challenges. Open to full-time roles or freelance/contract work (able to invoice B2B via own company).