Vasudha Devarakonda

Associate Consultant

College Station, Texas, United States2 yrs 10 mos experience

Key Highlights

Developed a comprehensive testing framework for serverless applications.
Achieved significant reductions in manual processes and incident response time.
Designed an R package for advanced forecasting algorithm comparison.

Stackforce AI infers this person is a Cloud Computing and Software Development specialist with a focus on data analysis and statistical programming.

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Skills

Core Skills

Cloud ComputingKubernetesData AnalysisStatistical Programming

Other Skills

JavaAWS LambdaGoPythonNode.jsRPython (Programming Language)Computer NetworkingOperating SystemsAnalytical SkillsC++SQLLinuxArgoHelm

Experience

2 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Texas a&m university

Graduate Research Assistant

Oct 2023 – Present · 2 yrs 7 mos · College Station, Texas, United States

•Developed a comprehensive testing framework to evaluate 6 standard serverless applications implemented in various runtimes such as Go, Python, Node.js, and Java. Employed AWS Lambda to execute these applications in fully reduced, partially reduced, and original forms to measure and analyse response time and memory usage.

KubernetesJavaCloud Computing

Siemens digital industries software

Associate Software Engineer

Jul 2021 – Jul 2023 · 2 yrs · Pune, Maharashtra, India

Streamlined processes through a self-service platform, achieving a 90% reduction in manual intervention and a 50% decrease in incident response time.
Collaborated with 9 application teams to deploy their applications in Kubernetes clusters, manage network configurations, and configure DNS settings. This comprehensive approach optimised system performance, reduced downtime by 30%.
Strengthened platform security through application of Cloud and Kubernetes best practices and conducting vulnerability scans on container images.

KubernetesCloud Computing

Visvesvaraya national institute of technology

Summer Research Intern

May 2019 – Mar 2020 · 10 mos

Designed R package to provide an effective and simplified way to compare a new proposed forecasting algorithm for uni-variate time series with traditional state of the art algorithms with functions required to test the newly proposed statistical method and to do
complexity analysis.

RPython (Programming Language)Data AnalysisStatistical Programming