“Markets move through regimes. I read the transmission across currencies, rates, equities, and real assets — then size positions with the discipline of a distributed system: fault-tolerant by design, decisive in execution.”
Two parallel disciplines have run alongside each other: a decade of building fault-tolerant verification infrastructure as an engineer, and managing my own capital across US, Japan, and Taiwan markets since 2010. Both train the same instinct — design the system to survive being wrong, then optimize for the cases where you are right. The investing track has converged into my main focus.
My philosophy is simple: Fault Tolerance.
In engineering, you assume components will fail, so you build redundancy. In investing, I assume I will be wrong, so I build portfolios that can survive mistakes while capturing asymmetric upside.
I am currently building a cross-border investment setup connecting the US, Taiwan, and Japan.
Designed scalable fault injection tooling and data pipelines (Python, Redis) to test software behavior under failure. This experience heavily influenced my “fault-tolerant” investing philosophy.
Developed and maintained a PDML (UPF) parser in C++, achieving ~5× performance improvement through massive codebase refactoring.
Built automation and verification tools for chip manufacturing using Python, C/C++ and C# for high-volume production testing.
Open to dialogue with Family Office CIOs, portfolio managers, analysts, and engineers or researchers working on adjacent problems in cross-asset macro and systematic frameworks. Not the right fit for recruiters, service vendors, or retail trading inquiries.
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