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Shreya Srivastava

Shreya Srivastava

Software Developer

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location of Shreya SrivastavaSeattle, Washington, United States

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  • Timeline

  • About me

    SDE @ Amazon | ML @ Carnegie Mellon University

  • Education

    • Delhi Public School - R. K. Puram

      2002 - 2016

    • Delhi Technological University (Formerly DCE)

      2016 - 2020
      Bachelor of Technology Electronics and Communications Engineering

    • Carnegie Mellon University

      2021 - 2022
      Master of Science - MS Computer Engineering

  • Experience

    • UAS-DTU

      Sept 2016 - Oct 2018
      Software Developer

      • Researched and built object detection, localization, and characterization imagery subsystem for an unmanned aerial vehicle capable of performing search and rescue operation• Participated in AUVSI SUAS 2018 competition along with an interdisciplinary team of undergraduate students

    • Indraprastha Institute of Information Technology, Delhi

      Sept 2018 - May 2019
      Research Intern

      • Improved existing multiple myeloma cell detection and segmentation pipeline for microscopic images by performing instance segmentation of cells using U-Net as the baseline model• Analyzed the baseline U-Net model and improved the IoU (Intersection Over Union) score by 9% by implementing a task-specific circular loss function

    • Citi

      May 2019 - Jul 2019
      Technology Analyst Intern

      • Worked on client-side service discovery for Spring Boot microservices using Spring Cloud Netflix Eureka• Developed monitoring and logging service for RESTful microservices using Spring Boot and Spring Boot Admin

    • Citi

      Aug 2020 - Nov 2020
      Technology Analyst

      • Designed a Fixed Income Portfolio Analysis and Reporting application using Spring Framework• Followed a test-driven development process using JUnit and ensured 90% test coverage

    • Carnegie Mellon University

      Jan 2022 - Apr 2022
      Graduate Research Assistant (under Prof. Carlee Joe-Wong)

      • Developed a benchmark framework for federated machine learning algorithms• Experimented with different regularisation techniques for personalized federated learning algorithms

    • Amazon Web Services (AWS)

      May 2022 - Aug 2022
      SDE Intern

      • Integrated dynamic throttling feature for APIs of internal service, led the migration phase of the feature, and pushed the code to production along with appropriate unit tests• Automated the migration to dynamic throttling using Cloud Development Kit (CDK) and Cloud Formation by implementing scalable cloud solution using Infrastructure as Code (IaC)

    • Flexport

      Feb 2023 - Dec 2023
      Software Engineer (Machine Learning)

      Worked on design and development of intelligent document processing system using computer vision to extract data from various documents and LLM for transformation of data to business specifc data model

    • Amazon

      Dec 2023 - now
      Software Engineer - AI/ML

      Annapurna ML (AWS Neuron Team)

  • Licenses & Certifications