Experience

Daimler Truck Innovation Center India

  • Graduate Engineer Trainee(Aug 2025 - Present)
  • Software Engineering Intern(Mar 2025 - Jul 2025)

Relevant Coursework: Data Structures, Operating Systems, Databases

KTO - Parts Optimization Platform

  • Developed a parts optimization platform with architecture designed for rollout across multiple manufacturing facilities.
  • Built duplicate and tolerance-based clustering algorithms to optimize small parts selection and identify reusable components.
  • Implemented BoM analysis with interactive factory layout visualization using Konva.
  • Reduced client-side computation time by about 70% using Web Workers and implemented virtualized data tables using TanStack Table for efficient large dataset rendering.
  • Designed role-based access control with a multi-tenant model for separate factory environments, and resolved sub-path deployment issues involving Next.js routing and Kubernetes ingress.

Tech Stack: Next.js, TanStack Table, PostgreSQL, IndexedDB, Drizzle, Konva, Web Workers, Azure, Kubernetes

SQD - Supplier Quality Data Platform

  • Built supplier-facing data collection workflows for material and quality attributes.
  • Implemented form validation and structured data ingestion.
  • Integrated Python backend services for secure data submission.
  • Containerized services and supported Azure deployments.

Tech Stack: Angular, Python, SQL Server, Docker, Azure