I build production-grade automation platforms for real-time data, pricing, fulfillment, and operational decisioning.
Python-first backend engineer with 6+ years of experience designing APIs, event-driven services, browser automation, marketplace integrations, and AI-assisted engineering workflows.
I specialize in backend systems where correctness, speed, and automation matter.
| Area | Focus |
|---|---|
| Backend Engineering | FastAPI, Pydantic, async Python, service boundaries, API design |
| Automation | Playwright workflows, 2FA-aware sessions, fulfillment orchestration, browser agents |
| Data Systems | Redis, event streams, ETL pipelines, inventory normalization, real-time sync |
| AI Engineering | Agent workflows, tool calling, prompt systems, code-generation pipelines, observability |
| Marketplaces | Ticketing APIs, broker inventory, pricing automation, order workflows, marketplace constraints |
TicketVision is an automation and intelligence platform for the secondary events ticket industry.
The core idea is simple: give brokers and operators a faster way to track offers, curate inventory, automate fulfillment, and reason about market exposure across ticket-selling websites.
I am currently focused on:
- Real-time inventory ingestion from marketplace APIs, FTP feeds, and broker data sources
- Dynamic catalog systems for event and listing eligibility
- Pricing automation and exposure-aware inventory decisions
- Fulfillment orchestration for purchase, confirmation, rejection, and barcode workflows
- AI-assisted tooling for debugging, code generation, operational triage, and platform analysis
I care about systems that are:
- Typed — explicit schemas, predictable contracts, and clean API surfaces
- Observable — structured logging, tracing, error capture, and operational feedback loops
- Composable — small services, adapters, registries, and clear module boundaries
- Automated — manual workflows should become repeatable systems whenever possible
- Practical — production behavior matters more than architectural theater
Languages: Python, TypeScript, SQL
Backend: FastAPI, Pydantic, HTTPX, asyncio, Typer
Data: Redis, PostgreSQL, SQLite, streams, ETL pipelines
Automation: Playwright, browser sessions, workflow orchestration
Frontend: React, TypeScript, MUI, DataGrid systems
AI Tools: OpenAI, Pydantic AI, agent workflows, MCP, code-generation systems
Ops: GitHub Actions, Docker, structured logging, Logfire-style observability
A backend platform for ticket marketplace automation, offer tracking, pricing workflows, and inventory curation.
Focus: FastAPI, Pydantic, Redis, marketplace APIs, event-driven orchestration, real-time inventory systems.
A seller-side inventory management framework for secondary marketplace brokers.
Focus: dynamic rule-based catalogs, listing lifecycle state machines, provider adapters, fulfillment decisioning.
Reusable systems for browser automation, 2FA-aware sessions, Gmail and Telegram workflows, background tasks, and operational alerts.
Focus: Playwright, async services, session persistence, task orchestration, reliability patterns.
- Turning messy operational workflows into reliable software systems
- Designing APIs that are clear enough for humans and strict enough for machines
- Building data pipelines that normalize fragmented marketplace inputs
- Automating repetitive browser and fulfillment workflows without sacrificing safety
- Using AI as an engineering multiplier rather than a novelty layer
I am strongest in roles that need a builder who can move across product, infrastructure, automation, and backend architecture.
Good fits include:
- Senior Software Engineer
- Backend Engineer
- Platform Engineer
- Automation Engineer
- AI Systems Engineer
- Technical Founder / Early Engineering Hire
- GitHub: github.com/dillon-barendt
- LinkedIn: Dillon Barendt