Illustrative listingThe Modern Residence
94% match$1,099/mo
0.8 mi from campus · ~16 min walk
1 bed · 1 bath · Pets OK
AI GOVERNANCE · SOLUTIONS ARCHITECTURE · FORWARD-DEPLOYED
Reese
Crawford
AI is being deployed faster than anyone can govern it. I build systems in that gap, then sit in the room to explain them to the people who carry the risk. Technical depth, client-facing seat.
Governance frameworks are written for models. Almost none are written for the people and businesses those models describe. That gap is the work.
Partnerships
What I Do
Built With Intent
The Experience · video
◈
The Experience
Research, venture, and enterprise — three different lenses on the same question: protocols, capital, systems. At GOSH AI I build the misrepresentation risk taxonomy behind Sentinel and map the AI regulatory landscape into product strategy.
GOSH AI
Sentinel Research Fellow · AI Brand Governance
SOLV Labs
Research Fellow · DeFi · Solana
Red Beard Ventures
BD & Research Intern · Web3 · Emerging Tech
SiteTrax
Field Tech Assistant · Enterprise Tech
◎
On Campus
Three seats at the University of Arkansas, all pointed at the same thing: build the technical bench, then put it to work. Blockchain minor, a teaching seat in the Walton College, and a management role on a venture shipping out of the McMillon Innovation Studio.
Crypto Hogs
Vice President · Digital Asset & Blockchain Club · RSO AG10468
Walton College of Business
Senior Scholar · TA · Data Analysis & Interpretation · R, Python
McMillon Innovation Studio
Manager — Kovie · Student housing platform · Fall 2026
Sui Foundation
Grant Recipient · Club ecosystem partnership
On Campus · video
Systems & Leadership · video
⬡
Systems & Leadership
Technical background, business seat. Enterprise deployments, venture diligence, and running a 150-member club that landed a Sui Foundation grant.
- Automated OCR deployed across supply-chain sites.
- Server architecture that improved platform uptime.
- Events run in London, New York, and Lisbon.
- CryptoHogs grown from a handful to 150+ members.
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Experience
Where I've Worked
Protocol research, venture capital, enterprise tech, and community leadership. Real roles, real output, since 2021.
The common thread is translation: taking something technical and making it land with the people who make decisions.
GOSH AI
SOLV Labs
Red Beard Ventures
SiteTrax
University of Arkansas Blockchain Club
GOSH AI
Sentinel Research Fellow
Researching AI brand governance on Sentinel, GOSH's platform for monitoring how AI models represent brands. Built the misrepresentation risk taxonomy and scoring framework, and mapped the AI regulatory landscape into a competitive read on the AEO/GEO market.
AI GovernanceRisk FrameworksResearch
SOLV Labs
Research Fellow
Ran market and policy interviews that shaped distribution and investment decisions. Co-authored two peer-reviewed publications on agentic-AI risk; both remain unpublished externally, under NDA.
DeFiResearchAI Risk
Red Beard Ventures
BD & Research Intern
Published research across four portfolio projects, each over $50M AUM. Briefed leadership, ran events in London, New York, and Lisbon, and built a 260+ project database for pipeline analysis.
VCDue DiligenceEmerging Tech
SiteTrax
Field Technician and Systems Analyst
Deployed automated OCR for container tracking across supply chain sites, helped design new server architecture that improved uptime, and installed the field hardware behind the traxa.io platform.
SystemsOCREnterprise Tech
University of Arkansas Blockchain Club
Vice President
Help lead the CryptoHogs. Grew membership from a handful of students to 150+, landed a Sui Foundation grant and partnership, and hosted workshops, panels, and a PizzaDAO pizza party.
LeadershipBlockchainWeb3
ONYX// terminal v0.1
MarketsOn-ChainMacroPortfolioFilingsLab
LOCALJARVIS · llama3.109:17:42
ii.Price · BTC-USD
BTC-USD
$65,942.52+2.34%
24H HIGH
$68,420.00
24H LOW
$66,180.00
24H VOL
$28.44B
INGEST OKWS · 7 streamsWHISPER · idleOLLAMA · llama3.1REDIS · 6 channelsVRAM · 11.2 / 24 gb// data sovereignty // local-first
initializing · 0%
DRIFT
Artifact 02
AURAFIELD
A hand-tracked particle field in the browser. One hand, five gestures, 40,000 particles at ~110 FPS. Three.js and MediaPipe in a single file — no backend, no build step.
KOVIEFind your people, find your place
Student housing for the University of Arkansas, from the McMillon Innovation Studio where I manage the build. Kovie scrapes listings from four sources, de-duplicates and geocodes them, then scores them against a renter profile with a compatibility function. The feed is ranked, not just filtered. Expo and React Native on Supabase, with ingest and scoring as edge functions.
Expo / React Native · Supabase · Postgres · Astro
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Roommates
Listings
Matches
Profile
Also Shipped
Case Studies
01Open Demo →
Sentinel Risk Scorer
GOSH AI's platform for governing how AI models represent brands. I built the entire client-facing portal and Meridian, the chatbot monitoring widget, using my misrepresentation risk taxonomy. A conditional rule engine scores six factors into severity tiers, with radar fingerprints, alert routing, and detection-coverage caveats.
AI GovernanceRisk TaxonomyGOSH AIRule Engine
02Open Demo →
VoterDAO
On-chain DAO governance system built with Solidity and Foundry. Smart contracts handle proposal creation, yes/no/abstain voting, quorum enforcement, and treasury-gated execution.
SolidityFoundryDAOSmart ContractsEVM
Research
Written Work
GOSH AI2026 · Phase 1
The AI Regulatory Landscape & Brand Representation
Five regulatory regimes govern AI today — the EU AI Act, NYC Local Law 144, state-level legislation, the FTC, and the SEC — and a single gap runs through all of them. Each was written to protect consumers and workers from AI. None was built to protect a brand that an AI system describes, recommends, or omits incorrectly. This memo maps each regime by how it handles risk, where it applies, and which party it regulates, then locates the space that AI brand governance occupies.
Read the paper (PDF)Full memo available
SOLV Labs2025
Decentralized Compute in the Consumer Sector
In an era where AI capabilities are increasingly concentrated among a handful of tech giants, decentralized AI infrastructure presents a compelling investment opportunity that challenges this centralization paradigm. This concentration has presented multiple challenges for users seeking transparency and control over their data, with privacy concerns and algorithmic opacity becoming significant barriers to trust. The importance of permissionless intelligence — where AI systems can be accessed, modified, and improved without gatekeepers — has emerged as a critical counterbalance to these centralized models. This paper examines why DeAI infrastructure layers are positioned to capture more sustainable value than consumer-facing applications. Our findings suggest that while consumer DeAI applications face intense competition, scalability concerns and commoditization risks, infrastructure providers benefit from stronger network effects, more accessible barriers to entry, and more sustainable revenue models.
Abstract only — full paper under NDA
Skills
Built Across Disciplines
Security
GRC FrameworksRisk AssessmentNIST / ISO 27001Threat ModelingOSINTVulnerability AnalysisSecurity Architecture
Development
TypeScriptPythonSQLNext.jsReactNode.jsREST APIsGit
Web3 & DeFi
SolanaSmart ContractsDeFi ProtocolsTokenomicsOn-chain AnalysisRust (basics)Web3.js
Business & Analytics
Systems AnalysisDue DiligenceInvestment MemosProcess MappingRequirements DocsStakeholder MgmtMarket Research
Open to Opportunities
Let's build something.
Looking for AI governance, solutions architecture, and forward-deployed engineering work — technical builds with a client-facing seat. Graduating December 2026, based in New York after that, and open to select opportunities before graduation.
Get in Touch