Jody Peters

Developed scalable web application features using React and Node.js, integrating complex third-party APIs and data pipelines to improve reliability. Engineered AI/ML capabilities and LLM integrations using Python and FastAPI, improving inference response speed and delivering production-grade features via agile iteration. Built robust backend architecture with Docker and Kubernetes to reduce deployments and achieve high uptime across distributed clusters. Implemented vector search and RAG workflows to improve document retrieval accuracy. Improved performance by optimizing web core components and reducing average page load times; authored comprehensive automated tests with Jest and PyTest to raise coverage and prevent regressions; streamlined CI/CD using GitHub Actions for faster, low-downtime releases.

Engineered advanced AI/ML features and LLM integrations using Python and FastAPI, improving inference response speed and supporting enterprise clients. Built secure and scalable financial web applications using React, TypeScript, and GraphQL, supporting millions of active users with zero data breaches. Optimized payment processing throughput, reduced API response latency via caching and database indexing improvements, and streamlined billing/invoicing flows. Reduced bundle sizes in Next.js through advanced performance techniques, implemented end-to-end testing with Cypress, and improved UI security posture. Mentored junior engineers, collaborated cross-functionally with product managers and designers, and strengthened reliability through incident resolution, root-cause analysis, and robust engineering practices.

Engineered advanced AI/ML and LLM integrations using Python and FastAPI to increase inference response speed by ~28%. Built secure, scalable financial web applications with React, TypeScript, and GraphQL, supporting ~2M active users with zero data breaches. Accelerated payment processing throughput by ~40% by refactoring legacy REST endpoints into optimized GraphQL query schemas. Reduced application bundle sizes by ~34% with aggressive code-splitting, tree-shaking, and modern asset management in Next.js. Implemented end-to-end testing protocols with Cypress to reduce critical UI defect leakage by ~55%. Enhanced accessibility to WCAG 2.1 AA compliance, improved caching and indexing to reduce API response latency by ~30%, and helped migrate legacy monolith components to modular micro-frontends, improving development velocity for 15+ distributed engineers. Collaborated cross-functionally to convert product initiatives into conversion-optimized digital experiences and maintained high code