Vedant Pandey

Vedant Pandey

Summer Intern

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location of Vedant PandeyBengaluru, Karnataka, India

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  • Timeline

  • About me

    SDE @Amazon | Ex - GE Healthcare | NITRR’23

  • Education

    • National Institute of Technology Raipur

      2019 - 2023
      Bachelor of Technology - BTech Computer Science 8.80
  • Experience

    • GE Healthcare

      May 2022 - Jul 2022
      Summer Intern

      • Developed a workflow planner web app to describe medical equipment connection topology in hospitals.• Built the frontend using Angular and the backend using Spring Boot, ensuring a seamless integration and functionality.• Integrated Kong API Gateway with backend services to implement authentication, enhancing the security and validation of requests.

    • GE HealthCare

      Jan 2023 - Jun 2023
      SDE Intern

      • Analyzed and resolved concurrent user issues in UPSRS (Unified Procedure Step Rest Service), written in Go, to improve performanceand reliability.• Integrated Java and Golang services with the HCDD Dashboard, enhancing the accuracy of test execution metrics and overall systemfunctionality.• Streamlined development and deployment processes using Cucumber for testing and Jenkins for continuous integration, optimizing theworkflow.

    • GE HealthCare

      Aug 2023 - Dec 2024
      Software Engineer

      • Developed FindMyDevice, a solution for tracking and managing handheld ultrasound devices, enhancing their security, traceability, andfacilitating the quick recovery of misplaced devices.• Designed and implemented backend services using Spring Boot and PostgreSQL to effectively manage and store location data.• Developed the frontend using Vue.js and integrated Google Maps to visualize probe movements.• Contributed to the development of ATRIA, an AI-based tool using NLP and Python to predict the most failure-prone tests, savingdevelopers time by prioritizing critical tests.• Integrated it with multiple projects and analyzed its performance, resulting in an average 60% reduction in debugging time andsignificantly improving test pipeline efficiency.• Generalized ATRIA by removing dependencies and adding features like time-based filtering of input reports, making it adaptable acrossvarious projects.• Enhanced source code to support both Common Data Model and Cucumber test reports, increasing its adaptability to different testingscenarios. Show less

    • Amazon

      Dec 2024 - now
      SDE
  • Licenses & Certifications