Jason Lane

Pet insurance company. Building modern fullstack features across a Turborepo monorepo.

• Python/Django backend services with Go microservices for performance-critical paths
• React / Next.js / TypeScript frontend with a focus on conversion and UX quality
• Infrastructure on AWS + GCP managed with Kubernetes and Terraform
• Driving adoption of AI coding agents (Claude Code, Codex) into the team's development workflow — wrote the codebase scaffolding and rules so agents ship Wagmo-quality code without hand-holding

• Led engineering team delivering high-impact commerce features: Upsell Funnels, Cart Abandonment, Tax Inclusive Pricing
• Introduced NextJS, Go, GitHub Actions, and Playwright into the CI/CD pipeline
• Scaled team through hiring, mentorship, and process improvements that shortened delivery cycles

• Led extraction of checkout from Rails monolith to a NextJS microfrontend — 5× performance improvement
• Built first Go microservice for pricing; accelerated org-wide monolith deconstruction
• Cleaned up Stripe integration to unblock ACH + BNPL; increased conversion 10%
• Administered Kubernetes clusters and mentored engineers on DDD and microservices

• Lead architect of ACH disbursements service in Go — reduced transaction processing costs 50%
• Built Plaid integration service (Go + Postgres + Redis) for student loan liability tracking
• Created soft credit pull chatbot with React, AWS Lambda, Lex, API Gateway — 20% conversion lift
• Led DDD-based 'North Star' architecture initiative to migrate monolith to microservices

• Managed a team of 5 engineers building and maintaining e-commerce platform
• Led migration from physical infrastructure to AWS using Docker and GitLab CI/CD
• Built Rails middleware for ERP-to-WMS integration and EDI document exchange

Contributor to and active user of OpenClaw, a self-hosted AI assistant runtime built around the Model Context Protocol (MCP).

• Built and operate a personal AI familiar ("Hex") on a self-hosted VPS with persistent memory, multi-agent orchestration, and node-paired devices
• Wired up MCP servers and provider integrations (Anthropic, OpenAI, Google) to extend agent capabilities
• Iterating on memory consolidation, dreaming pipelines, and long-running cron-driven background tasks

• Writing on AI agents, the Model Context Protocol, and the practical realities of working with AI coding tools day-to-day
• Series on building and self-hosting a personal AI assistant on Cloudflare Workers and a dedicated VPS