• 🎓 MBA @ UVA Darden '27 - applied AI builder
• 🎯 I build agentic AI products for high-stakes decisions — shipped with the trust layer built in: evidence citations, honest limits, and evals that measure whether the AI is actually right.
• 🛠️ Bio/longevity, blockchain, VC and PE, AI-native services, e-learning, etc.
• 📫 Badwalb27@darden.virginia.edu

TraceHound	AI Frontier Dispatch	Deal Docket
Agentic crypto hack tracer — live · executable evals · case study	Personalized AI + markets briefing, one-line plugin install — case study on generalizing a personal tool	Deal screening with rank-stability analytics — live · case study

LLM products here ship with tests, not vibes: golden set · deterministic policy gate · LLM-judge rubric · calibration plan (TPR/TNR, bias correction) — each states plainly what's validated vs. designed.

• TraceHound evals — executable deterministic gate (npm run eval) over a golden set: catches invented hops, false watchlist claims, missing evidence citations, unsafe letter claims.
• Consulting Trainer evals — 12-scenario golden set with deliberate tempting-wrong-answers, two-axis LLM judge with anti-halo instructions, calibration plan.

LiveForever (live, private) — personal health control tower unifying wearables (Oura Ring, Apple Health, Whoop), 10+ years of clinical bloodwork & daily self-logged training/habits, and personal genomics (DNA via 23andMe) into one owned data layer.

OpenAI Build Week 2026: Public version - Live → · Repo

Benchmarks PhenoAge biological-age, N-of-1 correlation analysis quantifying what each input does to HRV, recovery, resilience scores + 28-day analysis on interventions.

PhaseSignal (Live →) — scores live ClinicalTrials.gov data against a base rate, reweighted across four factors.

TraceHound (Live →) — agentic crypto hack tracer: live hop-by-hop tracing and narration from compromised wallet via Etherscan API, cross-references OFAC watchlist populated with sanctioned addresses from U.S. Treasury's SDN list. Built from experience with federal law enforcement on crypto crime.

Tranche AI (Live →) — condition-gated capital release for VC deals, designed for AI-agent milestone review; smart contract + dispute flow live on Base Sepolia (EAS attestations). Solidity.

Deal Docket (Live →) — deal-screening dashboard built around an AI-enabled service-roll-up thesis; adjustable five-box scoring framework.

AI Stack (Live →) — interactive map of the AI industry from silicon to application layer, value accrual, token cost calculator.

AI Frontier Dispatch — personalizable AI + markets briefing runs inside your harness 3x/week: track frontier builders (Grok API for live X read), GitHub/Hugging Face, deals/careers signals. One-line plugin install.

Orbit (private) — relationship intelligence engine scores tie strength from relationship history, auto-scheduled follow-ups. Obsidian graph + dashboard.

IB Technicals Fluency Trainer — merger-model cockpit, purchase-price allocator, DCF sensitivity heatmap - live playgrounds.

Consulting Case Prep Trainer — profit-diagnosis game, market-sizing builder, exhibit reader. Includes a designed eval harness: golden set, two-axis LLM judge, calibration plan.

The Operator's P&L Room — eight-quarter run-the-business simulator under leverage & covenants, 13-week cash-crisis room for distress-operator decision making.

Short product write-ups — problem · users · product decisions & tradeoffs · how I'd measure success · roadmap:

Most are self-contained apps — vanilla HTML/CSS/JS, no framework, no build step, no dependencies — designed, built, and shipped solo end-to-end. Some split data from rendering (data.json + app.js) for content updates. Some use a real Python data pipeline (data/build_dataset.py) that pulls and scores live data. TraceHound is a Next.js app with server-side API keys.

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