- 🎓 MBA @ UVA Darden '27 - applied AI builder shipping products end-to-end.
- 🛠️ Learning + building in bio/longevity, blockchain, VC and PE, AI-native services, e-learning, etc.
- 📫 Badwalb27@darden.virginia.edu
LiveForever (live, private health control tower) — personal longevity engine 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 vs. public Blueprint targets and population cohorts, N-of-1 correlation analysis quantifying what each input (supplements, fitness, sleep, etc.) does to HRV, recovery, resilience scores + 28-day before/after analysis on interventions. Daily auto-refresh via MCP + REST APIs.
PhaseSignal (Live →) — pulls real, live trial data from the ClinicalTrials.gov API, scores against a cited published base rate, adjusted by four computed factors with a live-reweighting breakdown.
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 Treasury's SDN list. Built from experience with federal law enforcement on crypto crime.
Tranche AI (Live →) — condition-gated capital release for VC deals: an AI agent reviews milestone evidence and posts a signed, on-chain attestation (EAS). Solidity, live on Base Sepolia network.
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 Digest — personalizable AI + markets briefing that runs inside your preferred agent harness 3x/week: track frontier releases, top builders (Grok API calls for live-X read), GitHub/Hugging Face, and markets/deals/careers signals.
IB Technicals Fluency Trainer — merger-model cockpit, purchase-price allocator, DCF sensitivity heatmap - live playgrounds, generative math drills, spaced repetition.
Consulting Case Prep Trainer — profit-diagnosis game scores hypothesis-driven reasoning under a limited information budget, market-sizing builder, exhibit reader.
The Operator's P&L Room — eight-quarter run-the-business simulator under leverage and 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:
| Project | The product-thinking angle |
|---|---|
| TraceHound → | Agentic AI for underserved users; rigor about a tool's limits |
| Tranche AI → | Scoping a frontier problem in VC |
| OpenAI Build Week '26: LiveForever → | Separating deterministic evidence from model interpretation |
| The AI Stack → | Mapping where value accrues across AI |
| Recruiting Trainer Suite → | Framing three tools as one product line; retention-first design |
| PhaseSignal → | Transparency vs. black-box incumbents |
| Deal Docket → | Making assumptions visible; build-vs-backend judgment |
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.
