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Contact Information:


Technical Skills

  • Programming Languages: Java, Python, JavaScript, SQL (Postgres), Go, Rust, C/C++, R
  • Web Development: HTML/CSS, React, Node.js, Flask, Spring Boot, FastAPI, Material-UI
  • Cloud & DevOps: Docker, Kubernetes, GitHub Actions, AWS, Azure, TravisCI, Terraform
  • Tools: Git, VS Code, IntelliJ, PyCharm, Eclipse
  • Libraries/Frameworks: TensorFlow, OpenCV, pandas, NumPy, Matplotlib
  • Other Skills: REST APIs, Backend Development, Strong Communication, Teamwork, Problem-Solving, Agile Environment

Education

Masters in Computer Science | The University of Texas at Arlington (August 2022 - May 2024) Bachelors in Computer Science and Engineering | Gudlavalleru Engineering College, A.P, India (August 2018 - May 2022)


Work Experience

Cloud Engineer Intern @ Toyota Financial Services (September 2021 - June 2022)

  • Proficient in AWS stack including but not limited to RDS, S3, EC2, SQS, SNS, CFN, EKS, CodeBuild, AWS Textract, DynamoDB.
  • Used Terraform to create and manage AWS infrastructure (EC2, S3, RDS), and wrote scripts in Python and Bash to automate repetitive tasks, improving efficiency and reducing manual intervention.
  • Configured and monitored networking (VPCs, subnets) and security settings (IAM policies, encryption) to ensure a secure and compliant AWS environment.
  • Used AWS CloudWatch and other monitoring tools to set up performance metrics, alarms, and logging to ensure system health and proactively detect issues.

Machine Learning Intern @ SmartBridge, India (May 2021 - July 2021)

  • Contributed to the "Digital Naturalist" project by gathering and cleaning diverse datasets of natural observations, and built machine learning models to accurately classify and identify various species.
  • Collaborated with a dynamic team to share insights and receive feedback, rigorously testing models in real-world scenarios to ensure their accuracy and reliability.
  • Documented processes and results throughout the project, creating valuable resources that will aid the team and future interns in their work.

Projects

Verizon Cloud Platform Job Simulation | Python, Command Line | September 2024

  • Simulated the development of a VPN product for Verizon’s Cloud Computing team.
  • Tested the VPN for cloud-native traits like redundancy, resiliency, and least privilege using Python scripts.
  • Researched and presented findings on application security strategies in a PowerPoint presentation.

Image Storage and Retrieval Application | React, AWS S3, AWS Lambda, DynamoDB/Firebase | May 2024

  • Developed a web application enabling users to upload, store, and retrieve images, using React for the front end and AWS S3 for secure storage.
  • Implemented a serverless backend with AWS Lambda for efficient file handling and storage processes.
  • Enhanced functionality with image tagging and metadata storage in DynamoDB for improved retrieval.
  • Demonstrated expertise in cloud storage, serverless architecture, and frontend development.

E-Commerce Platform | Java, Spring Boot, Microservices, Docker, Kubernetes, AWS

  • Built a scalable e-commerce platform using Java and Spring Boot with a microservices architecture.
  • Deployed Dockerized microservices on Kubernetes and used AWS for cloud infrastructure.
  • Automated testing and deployment with CI/CD pipelines, ensuring high availability and efficient delivery.

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