Building layered, dynamic, future-oriented products in React/Next.js, Tailwind, shaders, and AI — with clean, scalable architecture.

Outerwave AI-powered app experiences — ship fast, iterate faster.

Outerwave Logistics Automation + visibility for logistics & ops. Pragmatic AI where it matters.

UNC–Chapel Hill — B.A., Interdisciplinary Innovation (Dec 2023)
GPA: 4.00 • Honors: Dean’s List (consecutive)

Concentrations

• 🤖 Machine Intelligence: LLM apps & agents, retrieval strategies, prompt/eval pipelines.
• 🧱 Modern Web Engineering: Next.js (App Router, Server Actions), TypeScript, Tailwind, CI/CD.
• 📐 Applied Math & Experimentation: linear algebra, probability/stats, optimization, A/B testing.

Representative Coursework & Reading

• Algorithms & Data Structures · Discrete Math · Linear Algebra · Probability/Stats · Optimization
• Database Systems (SQL/NoSQL), Data Modeling, Transactions, Indexing
• HCI & Product Experimentation · Independent study on AI product systems (agents, eval harnesses, RAG patterns)

How I build

• Model Ops: dataset curation, synthetic data, offline/online evals (precision@k, MAP, win-rates, TPS), prompt versioning
• Web Systems: Next.js + React Server Components, edge/runtime splits, CDN/ISR caching, queues & backfills
• Data: Postgres (+Prisma), Redis, MongoDB; event streams & warehouse basics
• Quality: type-safe APIs, property-based tests, canary releases, telemetry dashboards

Capstone-style Work (public excerpts on request)

• Outerwave: composable tools for LLM workflows & multi-agent patterns (routing, tools, memory).
• Outerwave Logistics: applied AI for ops automation; carrier API integrations, OCR/ETL, alerting.

Rapid product spikes → validated MVPs · Robust architecture → clean, scalable code · Monetization → affiliates, subscriptions, funnels

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