Marketplace & exchange integrations
Connect to secondary-market platforms and data providers with production-minded auth, retries, and idempotent sync.
Independent software consulting
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
Drawn from shipping ticketing software in production. Stated as capabilities, without client or product specifics.
Connect to secondary-market platforms and data providers with production-minded auth, retries, and idempotent sync.
Scheduled snapshots, rate-limit-aware ingestion, and time-series analytics so teams can track supply, sales pace, and price movement across thousands of events.
Opportunity dashboards, buy/watch signal logic, pace metrics, and portfolio views designed for how ticket desks actually work day to day.
Isolated customer data, feature tiers, and automated provisioning so one codebase safely serves many accounts.
AI for ticketing
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.
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.
Simulate buy decisions on historical snapshots, then measure win rate and returns across categories and venues so signal weights stay grounded in real outcomes.
Agent loops that investigate market hypotheses, propose features, run backtests, and keep an auditable trail of what was tried and what held up.
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
Ticketing domain expertise on top of a deep backend, data, and AI foundation. Pragmatic, results-driven, and built to last.
TypeScript, Node.js, Java, and Spring Boot. API design focused on performance, testing, and reliability under real traffic.
Relational modeling, query design, and data integrity with SQL across SQLite, Postgres-style stores, and app backends like PocketBase.
AWS architecture, containerized services, CI/CD pipelines, and distributed system design that stays operable after launch.
LLM agents, tool-calling workflows, explainable scoring models, and backtested signal pipelines wired into real product UIs.
SvelteKit and modern web apps: dashboards, multi-tenant SaaS, and broker tooling from data layer through polished UI.
System architecture, developer mentoring, and engineering practices that help teams deliver faster and build software that lasts.
How I work
I’m available for freelance consulting and project work, from greenfield platforms to hardening the integrations you already depend on.
Clear statements of work with tangible milestones, so you know what ships, when, and what it costs.
Prefer demoable increments over slide decks. You see real interfaces, UIs, and data flows as they take shape.
Architecture notes, deployment runbooks, and knowledge transfer so your team can own the system after delivery.
Get in touch
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.