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About

Parth Janakbhai Patel

I build the backend systems behind Komatsu's autonomous mining fleet — real-time data services, AI-augmented developer tooling (including a custom MCP server), and production-scale deployments. Previously shipped features to 200M+ users at Evernote and built deep learning pipelines at ISRO.

Always open to conversations about backend systems, AI tooling, or hard infrastructure problems — feel free to reach out.

Check out my experience below.

GitHub Activity

GitHub Contribution Chart

I build what excites me and release it all as open source.


Experience

Komatsu

Feb 2023 – Present

Software Engineer | Tucson, AZ

  • Architected a Kotlin/Spring Boot data aggregation service for a mission-critical autonomous haulage system, processing real-time telemetry from an active mining fleet valued at $100K+/hour.
  • Built an AI-augmented developer toolkit with a custom MCP server, cutting API verification time by 50% and accelerating feature delivery by 2x.
  • Slashed developer onboarding time by 75% and established an Azure CI/CD pipeline that unblocked cross-team delivery.
  • Designed a Docker-based release pipeline achieving 10x deployment velocity improvement.

Evernote

Jun 2022 – Aug 2022

Software Engineer Intern | Remote

  • Shipped the "Repeat After Completion" recurring-task feature to 50K+ beta users using TypeScript/GraphQL.
  • Deployed a reusable task-filtering component to 200M+ users across Web, Mobile, and Desktop.

ISRO – Space Applications Center

Dec 2020 – Apr 2021

Research Intern | Ahmedabad, India

  • Achieved 92% detection accuracy on oceanic eddy identification using a Python deep learning pipeline (Mask R-CNN, YOLO).
  • Transformed raw satellite imagery datasets into structured ML training inputs for ocean circulation classification.

Stay Connected

Follow me on GitHub and catch the back-story in my contributions.