Viswanath Chadalapaka

Graduate Student Researcher at USC Institute for Creative Technologies
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Seattle Area
Languages
  • Telugu Native or bilingual proficiency
  • English Native or bilingual proficiency
  • Spanish Elementary proficiency
  • Japanese Elementary proficiency

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Credentials

  • Amazon Web Services Solutions Architect Associate
    Amazon Web Services (AWS)
    Apr, 2021
    - Nov, 2024

Experience

    • United States
    • Research Services
    • 1 - 100 Employee
    • Graduate Student Researcher
      • Sep 2021 - Present

      Researching the development of novel multi-agent reinforcement learning policy networks as a part of a ARL-funded initiative, while concurrently completing my Master's degree. Took a hiatus between May 2022 and August 2022 for my Meta internship. Researching the development of novel multi-agent reinforcement learning policy networks as a part of a ARL-funded initiative, while concurrently completing my Master's degree. Took a hiatus between May 2022 and August 2022 for my Meta internship.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • May 2023 - Aug 2023

      Helped build the backend for a new avatar marketplace feature and performed a DB migration for a high-traffic service getting 80K QPS on tables with ~7B rows, on the Avatar Search and Recommendations team. Helped build the backend for a new avatar marketplace feature and performed a DB migration for a high-traffic service getting 80K QPS on tables with ~7B rows, on the Avatar Search and Recommendations team.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • Jan 2023 - Apr 2023

      Enabled Asana developers to build secure apps by implementing container support for Asana's internal AWS Lambda framework as a part of the Infrastructure Platform team. Also wrote resource cleanup scripts to periodically alert on high amounts of unused resources, potentially saving up to $5,000/month in AWS costs. Enabled Asana developers to build secure apps by implementing container support for Asana's internal AWS Lambda framework as a part of the Infrastructure Platform team. Also wrote resource cleanup scripts to periodically alert on high amounts of unused resources, potentially saving up to $5,000/month in AWS costs.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer Intern
      • May 2022 - Aug 2022

      Developed metrics collection systems for ads recommenders and tested the efficacy of new features for Facebook and Instagram ads ranking models, as a part of the shopping ads optimization team. Developed metrics collection systems for ads recommenders and tested the efficacy of new features for Facebook and Instagram ads ranking models, as a part of the shopping ads optimization team.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Solutions Architect
      • Jan 2021 - Jul 2021

      Learned how to understand the needs of and collaborate with customers transitioning to the cloud. As a part of the training process, I developed, with a small team, an AI system with the capability of censoring live media. The solution was presented via a company-internal livestream to about 50 people. Learned how to understand the needs of and collaborate with customers transitioning to the cloud. As a part of the training process, I developed, with a small team, an AI system with the capability of censoring live media. The solution was presented via a company-internal livestream to about 50 people.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Solutions Architect Intern
      • Jun 2020 - Sep 2020

      Conducted independent research to develop a scalable, multimodal ML algorithm able to operate under sparse data in the cloud. Presented my algorithm via first and second-level manager review. Received a full-time employment offer for the role after the internship. Conducted independent research to develop a scalable, multimodal ML algorithm able to operate under sparse data in the cloud. Presented my algorithm via first and second-level manager review. Received a full-time employment offer for the role after the internship.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Engineer Intern
      • Jun 2019 - Sep 2019

      Designed and developed the back end for a web application which could successfully detect credit card fraud using ML. Presented the completed solution via executive review. Designed and developed the back end for a web application which could successfully detect credit card fraud using ML. Presented the completed solution via executive review.

Education

  • University of Southern California
    Master's degree, Computer Science
    2021 - 2023
  • University of California, Davis
    Bachelor's degree, Computer Science
    2017 - 2020
  • University of Washington
    Computer Science
    2016 - 2016

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