Summary
Nadina Zweifel is a backend services engineer with 8 years of experience building reliable, production-grade distributed systems, real-time data pipelines, and API-driven services—primarily in Python and C++. She combines a PhD-trained rigor in computational research with hands-on expertise in Postgres-backed event-driven architectures, Dockerized deployments, Prometheus/Grafana monitoring, and blockchain node operations. At Oates Capital she led high-throughput financial infrastructure work, designing resilient retry/backoff strategies and operating full execution+consensus node stacks for multi-network transaction tracking. Her background in ML/statistical modeling and HPC-informed simulation frameworks gives her a strength in time-series analysis and performance-sensitive engineering that often surfaces in observability and correctness-focused projects. Based in Chicago, she thrives where systems engineering, data engineering, and research intersect—turning ambiguous problems into auditable, scalable solutions. Colleagues note she pairs deep technical discipline with a knack for simplifying complex integrations across noisy upstream data providers.
8 years of coding experience
15 years of employment as a software developer
Master's degree Biomedical/Medical Engineering, Master's degree Biomedical/Medical Engineering at Grand Valley State University
Bachelor of Applied Science (B.A.Sc.) Systems Engineering (Biomedical/Medical Engineering minor), Bachelor of Applied Science (B.A.Sc.) Systems Engineering (Biomedical/Medical Engineering minor) at Zurich University of Applied Sciences
Doctor of Philosophy (PhD) Computational Research (Neuroscience), Doctor of Philosophy (PhD) Computational Research (Neuroscience) at Northwestern University
Smart Contract Development & Security, Smart Contract Development & Security at Cyfrin Updraft
English, Italian, German