Hi, I'm Parth Patel
Backend Software Engineer with 3+ years architecting real-time data systems and APIs for mission-critical autonomous industrial platforms. Currently building the backend infrastructure behind autonomous mining operations at Komatsu, and previously shipped features to 200M+ users at Evernote.
My engineering philosophy centers on reliability, developer velocity, and AI-augmented tooling.
While much of my production code is proprietary, here are the architectural challenges I solve:
- Real-Time Telemetry: Architecting a Kotlin/Spring Boot data aggregation service as the single source of truth for an autonomous haulage system with operations valued at $100K+/hour, reducing partner integration time by 50%.
- AI Developer Tooling: Built a custom Model Context Protocol (MCP) server and automated API-testing harness enabling coding agents (GitHub Copilot, Claude) to search, invoke, and validate service APIs — cutting verification time by 50% and accelerating feature delivery by 2x.
- Scale: Designed temporal state machine logic (TypeScript/GraphQL) and reusable components deployed to 200M+ users across Web, Mobile, and Desktop at Evernote.
- DevEx & Automation: Slashed onboarding from 4 weeks to 1 week, built Docker/Bash release pipelines achieving 10x deployment velocity improvement.


