Software Engineer

TECHINCAL SKILLS

Manish Enishetty

864-***-**** ***********@*****.*** GitHub https://www.linkedin.com/in/manish-enishetty Programming Languages : Java, Python, Kotlin, C#, shell Frameworks : React Native, Spring Boot, Jupyter Notebook, .Net, Angular JS, Mockito Web Technologies & Databases : HTML, CSS, JavaScript, Bootstrap, TypeScript, MongoDB, MySQL, Graph QL, AWS Dynamo DB Tools : Grafana, Git, Jira, Postman, IntelliJ, Docker, GitHub Actions, Kubernetes PROFESSIONAL EXPERIENCE

Albertsons Companies, Pleasanton, California

Software Engineer June 2023 – Present

• Led the development of a GenAI classification project using LLM models, resulting in a 30% improvement in product categorization accuracy, saving approximately $1M USD per year in third-party vendor application fees and saving time by 99%.

• Created REST API endpoints using Java SpringBoot, integrated with Azure Cosmos MongoDB, and developed a Kafka Consumer Application for asynchronous processing and third-party API calls, reducing processing time by 40%.

• Reduced operational costs by 25% and improved performance by 35% by eliminating redundant database calls, implementing caching, optimizing request units and indexing, and employing advanced techniques such as partitioning and sharding to distribute data efficiently across multiple servers.

• Structured comprehensive API documentation using Swagger, utilized Jira Confluence for precise contract definitions, and developed Grafana dashboards for real-time log monitoring. These efforts resulted in a 50% increase in system observability and contributed to a 20% reduction in project timelines by streamlining development and troubleshooting processes.

• Participated in Agile methodologies, conducted code reviews, and utilized Spring Security for role-based authentication, ensuring robust and secure services, leading to a 20% reduction in security incidents and a 10% increase in customer trust and satisfaction.

• Designed and implemented a robust functional testing framework for REST APIs using tools like Postman and RestAssured. This framework included automated test scripts, data-driven testing, validation of API responses, and integration with CI/CD pipelines, significantly improving the reliability and efficiency of API testing. Amazon, Seattle, Washington

Software Development Engineer July 2022 – March 2023

• Owned high-level technical design for implementation of product price curation for Alexa Shopping customers, based on product type, inventory location, customer’s prime eligibility, order eligibility for promotions on products.

• Rearchitected monolithic shopping service into multiple microservices and optimized time taken to calculate price for Amazon products from a customer request, decreasing onboarding time for partners by 80% (10 days to 2 days).

• Streamlined the development using java concepts namely spring beans, validators, and exception handling to achieve consistent experience to the partners using the service for both head and headless Alexa devices, which in turn decreased latency by 30%.

• Built Unit tests using the Mockito framework and Integration tests in 3 marketplaces including the US, EU, and Asia regions.

• Developed a new voice and graphical prompt on Alexa Devices to allow non-prime customers to learn about the benefits of Prime Membership. This educational implementation led to an 8% monthly increase (+$5M annualized) in Prime Memberships through Alexa.

• Monitored Software Assurance Services, Pipelines, Error rates and effectively reported them in Operational Excellence document leading to a 30% decrease (15 to 10 tickets weekly) in related on-call issues Clemson University

Research Assistant in Design and Research of In-Vehicle Experiences Lab (DRIVE Lab) May 2021 – May 2022

• Developed Ridesharing Application that enables older adults to book rides in Autonomous ridesharing vehicles. Implemented both Frontend and Backend of the Ridesharing application using React Native framework, AWS Dynamo DB, and GraphQL.

• Utilized Microsoft Language Understanding (LUIS) to program cognitive services, ensuring seamless data transfer from the Voice Recognition Module to the backend database.

• Developed and deployed a voice-based navigation system for visually impaired individuals in an agile environment. Leveraged React.js for the front-end and Java with SpringBoot for microservices, hosted on Microsoft Azure. Accenture Solutions Pvt. Ltd, Hyderabad

Application Development Associate June 2019 – Dec 2020

• Trained in SailPoint IIQ to work for IAM (Identity and Access Management), JAVA EE, Spring Framework, Jenkins, Agile Management.

• Collaborated with a team of developers to design and implement new software solutions using Python and Java.

• Worked with Azure services to develop and deploy software in a complex, multi-tiered, distributed environment.

• Contributed to the system design and architecture of new and current systems, including designing and implementing design patterns, reliability, and scaling.

• Developed and maintained identity and access management systems, ensuring that access controls were secure and met industry standards.

• Created SQL queries and optimized database performance for large-scale, high-performance systems. EDUCATION

Clemson University, USA Jan 2021 – May 2022

• Master of Science in Computer Science

Chaitanya Bharathi Institute of Technology, India July 2015 – April 2019

• Bachelor of Engineering in Information Technology

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