Remote: Yes (EU/US time zones). Willing to relocate: Yes
Technologies: Rust, Python, PyTorch, NumPy/Pandas, Flask, Django, SQL, Docker; machine learning, deep learning
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory); master's theses in finance and neuroscience; applications of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction; LLMs and agentic frameworks (tools, planning, evaluation)
Rust focus: async services (Tokio, Axum/Actix), data/compute (Polars/Arrow); production systems and performance-critical pipelines
Résumé/CV: available on request
Systems-oriented ML/LLM engineer using Python/PyTorch and Rust for low-latency/high throughput services. I've worked across domains (banking/finance, domain-specific image analysis, neuroscience, low-level database optimizations). 8+ years professionally with Python and machine learning, and with Rust. Actively exploring remote opportunities where I can apply my combination of math and developer skills to interesting challenges.
Open to freelance/contract work (I can invoice via my own company) or full-time. Open to US work.
E-mail: hn [at-symbol] vixe [dot] re