Sri Valluri

Experience

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  Setty & Associates

  Jun 2018 - Mar 2019

  As part of Smart Building initiatives, I developed AI and DL models to accurately predict costs of future buildings along with infrastructure costs. I also developed AI models utilizing OCI libraries in automatically converting unstructured document information into a structured database to provide analytical and reporting insights. Developed an Augmented Reality (AR) application using Unity and Vuforia to provide virtual walkthrough of the building and infrastructure to better assist in visualizing and designing efficient workspaces and buildings.

  • Artificial Intelligence Intern

    Sept 2018 - Mar 2019

  • Software Engineering Intern

    Jun 2018 - Aug 2018
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  Purdue University

  Dec 2019 - Mar 2020

  Software Engineering/Visual Analytics Researcher

  Conducted research on visual analytics with Guidehouse consulting and a Purdue research lab where I developed a website utilizing NodeJS and ReactJS. The purpose of the website is to show foreign aid and its influences on countries’ indicators.

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  Amazon Web Services (AWS)

  May 2021 - Aug 2021

  Software Development Engineering Intern

  • Developed a dashboard for the AWS IoT Console to display, interface and manipulate data from LoRaWAN IoT device data, utilizing multiple technologies including Amazon Location Services, Mapbox, Typescript, and ReactJS • Published an internal package for customizable, draggable, and resizable widgets to interface with the AWS IoT Console. • Worked with sister teams to design changes to AWS console on Figma and initiate the publishing process.

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  Amazon Web Services (AWS)

  May 2022 - Aug 2022

  Software Development Engineering Intern

  • Using Agile methodologies, developed a fully containerized multi regional service that allows real time customer logging for IoT CoAP devices. Used gRPC and Kafka for communication between multiple microservices. Decrypted CoAP packets, reformatted and published to AWS console and Redis. • Captured DTLS Handshake packets and grouped by various factors such as IP for storage purposes. Stored packets in a DynamoDB database. • Deployed code to production environment by adding appropriate canaries, alarms, and metrics. Collaborated with team members and external teams for research and documentation, with customers as the priority. Incorporated customer feedback into design choices and communicated progress regularly Show less

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  Amazon Web Services (AWS)

  Feb 2023 - Aug 2023

  Software Development Engineer
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  United States Department of Defense

  Aug 2023 - now

  Software Engineer