For Prop Shops · Crypto Funds · Trading Desks
Building AI agents instead? →Your signing path has a tax. Most shops have never measured it.
I built crypto infra at Akuna Capital and SRE'd at Gemini Exchange. I've worked at firms that measure in microseconds, and audited firms that didn't know their p99. I find the latency. I fix it.
Your signing path, your key management, your execution loop. Each one has a cost no one's quantified yet.
Why this engagement is different.
I didn't advise on this. I built it.
I've built a TEE signing platform at 42µs
Most fractional CTOs advise on infrastructure. I've built it. ZeroCopy's AWS Nitro enclave is the reference implementation you'd otherwise hire a 3-month consulting firm to scope and design.
Both sides of the latency gap
Akuna Capital + Gemini Exchange
Prop shop crypto infra at Akuna. Exchange-scale SRE at Gemini. I know what institutional-grade signing looks like because I built and ran it. Not because I read the whitepaper.
AI does the parallel work. I own the judgment calls.
Automated where safe. Human where it matters.
Code review, test generation, dependency scanning, documentation: automated. Architecture, security, anything where being wrong is expensive: that’s mine.
Where your alpha leaks.
Every millisecond between signal and signed transaction is alpha you don't capture. Most shops don't know where the time goes.
Key management
AWS KMS: 130ms · CloudHSM: 5ms · TEE: 42µs
3,095× faster signing at the hardware level. The delta compounds across every trade in your book.
Signing path p99
Typical shop: 8-40ms · Best-in-class: <500µs
Most shops have never measured their signing p99 in production under load. The number is almost always worse than expected.
Order execution loop
strace overhead: 166× · eBPF overhead: <500ns
If you're profiling with the wrong tools, you're measuring the profiler. I know which tool fits each layer of the stack.
First-week deliverable: the latency audit.
Output: written report with severity ranking and remediation sequence. Most shops find 2-3 items in the top tier that they can fix in a week.
Track record
Gemini Exchange. SRE
Exchange-scale reliability engineering. Know what institutional-grade signing infrastructure looks like in production at real transaction volume.
Akuna Capital. Crypto Infra
Prop shop crypto infrastructure. Know what the latency bar looks like at a firm that trades for a living. That bar is the benchmark I use for audits.
ZeroCopy Systems. TEE Platform
Built a production TEE signing platform from scratch. 42µs deterministic signing. 40+ Rust crates. This is the implementation reference.
Quantfund Engine
Built the systematic trading infrastructure: kill-switch, circuit breaker, Telegram alerts, paper-to-shadow-mode pipeline. 1,000+ tests. Shipped infrastructure.
Free · No call required
The Latency Audit Template. 8 checks most shops have never measured
- . Signing p99 baseline across hardware security module vs. KMS
- . KMS API overhead attribution (network, serialisation, queue)
- . Linux kernel tuning checklist for sub-millisecond determinism
- . Exchange adapter round-trip decomposition (encode → sign → transmit)
Check your email. Or open it now:
Open the checklist →Tip: print it (⌘+P / Ctrl+P) to save a PDF copy for your team.
How to engage.
Most prop-shop engagements start with a scoping call to determine the right intensity. Advisory works for a one-shot latency audit and remediation plan.
What's your current signing p99?
If you don't know the number, that's where we start. Three questions, reply within 24 hours. Or book directly: calendar.app.google/W1CEqo8GsoGtjJX49