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Pedro Pita

Full-Stack Engineer specializing in TypeScript, React,Next.js, and Python, with experience building production systems across application architecture, APIs, data pipelines,AI orchestration, and automated testing. Experience spans InsurTech, hospitality, laboratory software, and AI products, with a focus on reliable systems, measurable performance, and contract-first engineering.

Professional Experience

Iron Signal Works

Jan 2025 – Present

Full-Stack Engineer · Product Engineering Studio

Product engineering studio delivering production web, data, and AI systems from architecture through deployment. Work spansReact, Next.js, TypeScript, Python,FastAPI, PostgreSQL, and modern AI tooling.

  • AI Staff Copilot Architected a decoupledVite/React frontend and stateful FastAPI backend, separating interactive UI workloads from long-running AI processes. Implemented background daemon execution for long-lived MCP child processes, overcoming serverless execution constraints. Integrated LangGraph andLangSmith for node-level pipeline visibility and operational telemetry. 
  • LIMS Console Built a laboratory information management console around a strain registry and six pipeline scenario simulations, using Mermaid to expose process state visually. Added an integrated data workspace, automated report generation, and R data export workflows, improving laboratory reporting speed by 40%. 
  • Hospitality Dashboard Built a property operations command center combining occupancy metrics, live booking ingestion, localized micro-CMS workflows, and responsive operational views. Integrated the Gmail API to support a tandem messaging workflow, reducing manual work for local property teams by 10+ hours per week. 
  • Sidera DPP Designed an end-to-end digital product passport focused on EU compliance and data traceability. Implemented schema validation, contract-based testing, and WebSockets for high-frequency data exchange, maintaining 99.9% validation accuracy under sustained workloads. 
  • DevOps & Quality: Established automatedCI/CD delivery with Playwright end-to-end coverage, using automated validation as a deployment gate to reduce production regression risk.

Carpe Data

May 2021 – Dec 2024

Data Analyst & Product Delivery · InsurTech · Data Systems · Fraud Detection

  • Built backend validation layers and automated test suites for large-scale fraud detection systems, enforcing data integrity across production workflows and downstream product surfaces.
  • Reduced dashboard latency by ~35% through SQL query optimization, strategic indexing, and caching patterns, improving responsiveness of data-heavy operational views.
  • Built asynchronous ETL pipelines and validation workflows for LLM API outputs, enforcing contract-first schemas, type safety, and predictable data boundaries between services.
  • Managed end-to-end defect tracking and release quality through ALM Octane and Jira, supporting audit compliance for high-stakes enterprise insurance systems.

Education & Languages

Operating Systems & Python – IEFP (Scripting, Automation, and Systems Architecture)

Artistic Studies – Faculdade de Letras da Universidade de Coimbra (FLUC)

Languages: Portuguese (Native), English (C2), Spanish (B2)