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Independent software consulting

Building software for ticketing and live events.

I help brokers, marketplaces, and live-event teams build market-data platforms, marketplace integrations, and AI-assisted buying tools that turn fragmented data into faster, more confident decisions.

Ticketing capabilities

Built for the secondary market

Drawn from shipping ticketing software in production. Stated as capabilities, without client or product specifics.

Marketplace & exchange integrations

Connect to secondary-market platforms and data providers with production-minded auth, retries, and idempotent sync.

Pricing & inventory pipelines

Scheduled snapshots, rate-limit-aware ingestion, and time-series analytics so teams can track supply, sales pace, and price movement across thousands of events.

Broker & reseller tooling

Opportunity dashboards, buy/watch signal logic, pace metrics, and portfolio views designed for how ticket desks actually work day to day.

Multi-tenant SaaS architecture

Isolated customer data, feature tiers, and automated provisioning so one codebase safely serves many accounts.

AI for ticketing

From market research to ranked decisions

I build AI systems that help ticket desks find opportunities faster: explainable scoring, hypothesis-driven research, and conversational tools that sit on top of real inventory and price history.

Price-jump opportunity scoring

Research-tuned models that rank events by the chance of a meaningful price move, using supply compression, cross-market gaps, sales pace, and days-out as inputs.

Walk-forward backtesting

Simulate buy decisions on historical snapshots, then measure win rate and returns across categories and venues so signal weights stay grounded in real outcomes.

LLM research agents

Agent loops that investigate market hypotheses, propose features, run backtests, and keep an auditable trail of what was tried and what held up.

Conversational buy screening

Natural-language tools that turn a broker question into a live search, extract snapshot features, and return ranked buy candidates with clear pass/fail rationale.

Engineering foundation

Decades of shipping reliable systems

Ticketing domain expertise on top of a deep backend, data, and AI foundation. Pragmatic, results-driven, and built to last.

Backend & APIs

TypeScript, Node.js, Java, and Spring Boot. API design focused on performance, testing, and reliability under real traffic.

SQL & databases

Relational modeling, query design, and data integrity with SQL across SQLite, Postgres-style stores, and app backends like PocketBase.

Cloud & infrastructure

AWS architecture, containerized services, CI/CD pipelines, and distributed system design that stays operable after launch.

AI systems

LLM agents, tool-calling workflows, explainable scoring models, and backtested signal pipelines wired into real product UIs.

Full-stack product

SvelteKit and modern web apps: dashboards, multi-tenant SaaS, and broker tooling from data layer through polished UI.

Technical leadership

System architecture, developer mentoring, and engineering practices that help teams deliver faster and build software that lasts.

How I work

Consulting that leaves you stronger

I’m available for freelance consulting and project work, from greenfield platforms to hardening the integrations you already depend on.

  1. 1

    Fixed-scope phases

    Clear statements of work with tangible milestones, so you know what ships, when, and what it costs.

  2. 2

    Working software early

    Prefer demoable increments over slide decks. You see real interfaces, UIs, and data flows as they take shape.

  3. 3

    Documentation & handoff

    Architecture notes, deployment runbooks, and knowledge transfer so your team can own the system after delivery.

Get in touch

Let’s talk ticketing software

Available for freelance consulting and project work. If you’re building in the live-events space, I’d love to hear what you’re working on.

  • Integrations, data platforms, AI tooling, and broker systems
  • Fixed-scope phases with clear deliverables
  • Remote-friendly across time zones