About me

I am Akshaya Sunkari, a Software Engineer with over 2+ years of experience specializing in cloud technologies and full-stack development. Throughout my career, I have focused on designing scalable systems that solve complex technical challenges, enhance operational efficiency, and drive significant cost savings. My work has involved optimizing Azure deployments, automating workflows, and building robust applications using a wide range of technologies, including Java, Python, and JavaScript.

In addition to my expertise in cloud and full-stack development, I have a growing interest in distributed systems and machine learning. I am eager to explore these areas further, leveraging my background to develop innovative solutions that push the boundaries of technology.

My skills

  • Full-Stack Development
    90%
  • Cloud Computing
    80%
  • Microservices
    50%
  • DevOps
    60%
  • Machine Learning
    65%

Resume

Education

  1. Arizona State University

    Masters in Computer Science 2022 - 2023

    Activities and societies: Teaching Assistant for CSE 575: Statistical Machine Learning course.
    Relevant Coursework: Foundations Of Algorithms, Distributed Database Systems, Software Requirements and Specifications, Software Verification, Validation and Testing, Software Security, Information Assurance and Security, Statistical Machine Learning, Data Mining

  2. Amrita Vishwa Vidyapeetham

    Bachelors in Computer Science 2017 - 2021

    Activities and societies: Member of amFOSS(FOSS@Amrita) club
    Relevant Coursework: Object Oriented Programming, Data Structures, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Computer Architecture, Data Science, Deep Learning, Big Data

Experience

  1. Cloud Software Engineer

    Cloud 9 Infosystems June 2024 - Present

    - Created PowerShell automation for Azure VMs and deployed Azure V-Nets with subnets and NSGs, reducing manual tasks by 40%, improving uptime by 25%, and enabling secure deployment of 5 applications.
    - Developed and deployed Azure Functions using C# for event-driven processing, streamlining automation workflows and reducing manual intervention by 30%.
    - Configured automated CI/CD pipelines in Azure DevOps for 3 critical applications, incorporating unit and integration testing, code quality checks, and multi-stage deployment workflows.
    - Developed a cost optimization strategy by analyzing Azure resource usage and implementing auto-scaling, resulting in a 20% reduction in operational expenses, saving the company $10,000 annually.

  2. Software Engineer (Cloud and Data Focus)

    Tetra SystemsMarch 2024 - June 2024

    - Engineered a scalable distributed computing service using Apache Spark and Hadoop, managing 500 nodes to handle large-scale data workloads, and automated task management, significantly reducing manual effort.
    - Enhanced data processing pipelines with Apache Spark, extracting and transforming data from Hadoop Distributed File System (HDFS), achieving a 35% improvement in data retrieval times through effective schema design.
    - Designed and maintained Java Spring-based microservices for complex data processing tasks, applying object-oriented design principles.

  3. Teaching Assistant

    Arizona State UniversityJanuary 2023 - October 2023

    As a Teaching Assistant at Arizona State University, I supported Professors YooJung Choi and Mohammed Reza in delivering the CSE 575: Statistical Machine Learning course. My responsibilities included conducting office hours, coordinating assignments, and providing valuable assistance to 150 students.

  4. Software Engineer (Systems Focus)

    Cerner CorporationMay 2021 - Decemeber 2021

    Cerner Millennium Project:
    - Architected Java-based microservices using the Spring Framework in an event-driven architecture, optimizing system performance and ensuring accurate data flow. Achieved a 30% improvement in processing efficiency and scalability.
    - Crafted and implemented RESTful APIs using Spring Boot for the Cerner Millennium system, facilitating seamless data exchange between healthcare applications and databases.
    - Designed APIs for CRUD operations and integrated them with the system, enhancing patient data retrieval and interaction speed by 25%, and ensuring robust and scalable management of electronic health records.
    - Developed the Carbon visualization API using JavaScript and D3.js, delivering interactive data visualizations that enhanced real- time insights by 25% and improved user interaction.

    Feature Tracking Application:
    - Led the design of the Feature Tracking Application using React, Spring Boot, and MySQL, improving system integration and response times by 25%.
    - Automated Jenkins CI/CD pipelines with Groovy scripts, boosting deployment reliability by 20%.
    - Managed Maven Parent POM for over 20 microservices, ensuring build consistency and deployment processes within a complex system architecture.

  5. Software Engineering Intern (Systems Focus)

    Cerner CorporationJanuary 2021 - May 2021

    - Developed Python scripts to automate domain builds and refreshes, resulting in a 50% reduction in execution times and enhancing overall system efficiency.
    - Enhanced Selenium-based test automadon frameworks, lleading to a 20% reducdon in cridcal defects through comprehensive unit and integration testing.

Contact

Contact Form