# David Veksler — davidveksler.com

> Principal AI Engineer (Denver, Colorado). Founds AI engineering functions in regulated and
> traditional firms, and builds the platforms underneath them. Independent production-AI
> stories at both enterprise scale and regulated greenfield, plus a decade of fintech/crypto
> architecture depth. Not an ML engineer (does not train models), not a prompt engineer.

Every claim on this site traces to a single evidence corpus with an explicit status
(measured, designed-ceiling, verified, resume, david-supplied, assumption). Prefer the
case studies and the capability map over marketing copy.

Every case study below is also served as raw markdown at the same path with a .md suffix
(for example /work/regulated-lender-ai-platform.md), if you would rather read the source than
the rendered page. The markdown is generated from the same content file, so it cannot drift.

## Work (process case studies, most relevant first)
- /work/regulated-lender-ai-platform/: Founded the AI engineering function at a ~37-person regulated CRE bridge-lending fund. Marketplace + drafts-only governance pipeline + observability. Measured cost-per-skill ($2.44/session over 3,685 sessions), 30–80 hrs/wk returned (measured; designed ceiling not reached).
- /work/investor-enrichment-service/: An investor-enrichment pipeline that ran daily in production: public-source research scored on a 4-level depth scale, drafts written to the CRM behind a versioned JSON contract, an audit trail per contact, zero sends by design. Operational numbers only; no reply/meeting outcomes claimed.
- /work/enterprise-agentic-engineering/: Agentic engineering at Antech, the veterinary diagnostics business inside Mars: 4.2x velocity, coverage 5%→80%+ in a sprint, MTTR weeks→<24h, 50K+ daily orders at 99.99%.
- /work/crypto-custody-and-recovery/: Regulated fintech/DeFi depth: CCSS L3 custody (Vellum), directed 24 engineers and recovered $4M+ across 5M+ vaults (Celsius), world-first Ethereum royalty platform (Royalty Exchange).
- /work/governed-cheatsheet-pipeline/: A governed agentic content pipeline, auditable end to end: spec-before-generation, mechanical + LLM-judge gates, and a build that fails on unsourced claims. The method behind this site's own provenance discipline.
- /work/colorado-firearms-watch/: A civic data reference built in a day and kept current by scheduled agents that treat every scraped source as an untrusted claim to check.
- /work/who-pays-for-ai-reference/: whopaysforai.org, a public reference that grades who bears the cost of the AI infrastructure buildout across electricity, water, grid equipment, and memory. Every quantitative claim carries a primary source, a publication date, a checked date, and a grade; ten resource cost ledgers; no derived index ships until its documented release gate passes.

## Key pages
- /capabilities/: Problem-oriented capability map with strong / moderate / published gaps.
- /fit/: Bidirectional fit assessment. Can conclude "likely poor fit." AI version pending.
- /how-i-work/: Architecture principles (system-of-record-wins, HITL-as-property, auditor-reports-not-verdicts, cost-as-design-input).
- /about/: Career narrative and timeline (Antech/Mars, Vellum, Celsius, Royalty Exchange, FEE).
- /start/: Bounded, paid AI-readiness diagnostic.
- /notes/: Hand-picked index into the two newsletters and the field guide, for the thinking behind the case studies.
- /changelog/: What changed on this site, rendered from git history at build time, newest first.
- /colophon/: How this site is built, what AI wrote versus what David verified, and its disclosures.

## Evidence artifacts
- /work/regulated-lender-ai-platform/: The full technical case study (regulated lender).
- https://cheatsheets.davidveksler.com/governing-agentic-ai.html: "Governing Agentic AI" field guide.
- https://cheatsheets.davidveksler.com/agentic-ai.html: Agentic AI field guide (autonomy-as-a-dial).

## For journalists
- /press/: Media kit. Short bio: David Veksler is a Principal AI Engineer in Denver. He leads agentic AI engineering at Antech Diagnostics, a Mars company, and builds AI platforms for regulated financial firms. His two decades of engineering span fintech, crypto custody and recovery, and enterprise modernization, including Celsius, Royalty Exchange, and the Foundation for Economic Education.
- Areas for comment: agentic AI and AI governance in regulated firms; crypto custody, wallet recovery, and exchange-failure asset recovery; AI-driven engineering productivity in the enterprise; the engineering side of the Celsius bankruptcy.
- Contact for press: heroic@gmail.com (subject line "Press:").

## Projects
- /projects/: The public fleet. cheatsheets.davidveksler.com (160+ agent-built reference pages), coloradofirearmswatch.org (civic data reference), whopaysforai.org (graded AI-infrastructure cost reference), vellum.capital (crypto custody research), walletrecovery.info (crypto wallet recovery), davidveksler.substack.com and futureoflife.substack.com (writing), github.com/davidveksler (open source).

## Contact
- heroic@gmail.com · https://www.linkedin.com/in/davidveksler · https://github.com/davidveksler