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For Prop Shops · Crypto Funds · Trading Desks

Building AI agents instead? →
Accepting 1 new Fractional · May 2026
30-40 hrs/wk contract · Q2 2026

Your signing p99 is hiding 8+ milliseconds of alpha. I find it in week one, fix it in week three. Ex-Akuna + ex-Gemini.

I built crypto infra at Akuna Capital and SRE'd at Gemini Exchange. I've worked at a firm that measured in microseconds. I've audited firms that didn't know what their p99 was. Same lesson either way. Signing latency is alpha leakage, and most shops don't know how much they're leaving on the table.

Your signing path, your key management, your execution loop. Each one has a tax. I find it. I fix it.

42µs TEE signing 3,095× AWS KMS 1,245 tests green AI orchestration: Letta + BAML

Why me.

Only one who's shipped 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.

Production AI orchestration

Letta and BAML agents in the loop

I run a production AI orchestration system for tasks where AI does well: code review against my checklists, test generation from spec, dependency scanning, documentation. AI handles parallel scope work; I own architecture, security-critical paths, and anything where the cost of being wrong is high.

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.

. Signing path p50/p95/p99 under realistic load
. Key management architecture (HSM, KMS, TEE, software)
. Order execution loop timing. Signal to signed submission
. Circuit breaker and kill-switch latency overhead
. NATS / messaging bus jitter profile
. Linux kernel settings (THP, CPU governor, C-states, IRQ affinity)
. Network path. Co-location, cross-DC hops, VPN tax
. Exchange adapter overhead per venue

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. 1,245 tests. Not portfolio filler. Shipped infrastructure.

How to engage.

Most prop-shop engagements start at Fractional. Advisory works for a one-shot latency audit and remediation plan.

Advisory

$5K / mo

  • . Weekly 90-min architecture review
  • . Async Slack channel for questions
  • . Infra risk register + remediation roadmap
  • . TEE / signing system audit
  • . 30-day rolling, cancel anytime
Start with advisory

Fractional CTO

$15K / mo

  • . Everything in Advisory
  • . Up to 20 hours active engineering per month
  • . Attend your engineering standups
  • . Hiring bar-setting + technical interviews
  • . Represent you in investor / customer technical calls
  • . Production AI orchestration: Letta and BAML agents for code review, test generation, dependency analysis, and documentation — under explicit guardrails, with humans on every critical path
Book a discovery call

Embedded

$30–40K / mo

  • . Everything in Fractional
  • . Dedicated primary focus (one client at a time)
  • . Hands-on production engineering ownership
  • . Full team leadership including vendor management
  • . Custom SLA and escalation path
  • . Engagement typically 3–6 months
Let's talk scope
Compare tiers side-by-side 8 features × 3 tiers

Advisory

Price
$5K / mo
Included hours / mo
.
Engineering standups
.
Hiring interviews
.
Investor / customer calls
.
Production ownership
.
Dedicated focus
.
Minimum term
30 days

Fractional CTO Popular

Price
$15K / mo
Included hours / mo
20
Engineering standups
Hiring interviews
Investor / customer calls
Production ownership
.
Dedicated focus
.
Minimum term
30 days

Embedded

Price
$30–40K / mo
Included hours / mo
Dedicated
Engineering standups
Hiring interviews
Investor / customer calls
Production ownership
Dedicated focus
Minimum term
3 months

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)

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

e.g. "Series A fintech, $8M raised 2024, 12-person team"

What keeps you up at night? Be direct. Vague answers get vague responses.

No sales pitch. One conversation to see if there's a fit.