I am a Software Engineer with over 5 years of experience designing, developing, and deploying scalable backend and full-stack applications. My expertise lies in microservices architecture, cloud solutions such as AWS and Azure, and creating end-to-end systems using technologies like Java, Spring Boot, Python, and Node.js. I enjoy collaborating with cross-functional teams in Agile environments and contributing to innovative AI-powered features and enterprise modernization initiatives. I am passionate about leveraging machine learning and natural language processing to solve real-world problems, such as building intelligent chatbots and sentiment analysis modules. I continually strive to enhance system performance, improve user experiences, and automate deployment pipelines to ensure zero downtime and optimal service reliability.

Sai Pruthvi Singama Setti

I am a Software Engineer with over 5 years of experience designing, developing, and deploying scalable backend and full-stack applications. My expertise lies in microservices architecture, cloud solutions such as AWS and Azure, and creating end-to-end systems using technologies like Java, Spring Boot, Python, and Node.js. I enjoy collaborating with cross-functional teams in Agile environments and contributing to innovative AI-powered features and enterprise modernization initiatives. I am passionate about leveraging machine learning and natural language processing to solve real-world problems, such as building intelligent chatbots and sentiment analysis modules. I continually strive to enhance system performance, improve user experiences, and automate deployment pipelines to ensure zero downtime and optimal service reliability.

Available to hire

I am a Software Engineer with over 5 years of experience designing, developing, and deploying scalable backend and full-stack applications. My expertise lies in microservices architecture, cloud solutions such as AWS and Azure, and creating end-to-end systems using technologies like Java, Spring Boot, Python, and Node.js. I enjoy collaborating with cross-functional teams in Agile environments and contributing to innovative AI-powered features and enterprise modernization initiatives.

I am passionate about leveraging machine learning and natural language processing to solve real-world problems, such as building intelligent chatbots and sentiment analysis modules. I continually strive to enhance system performance, improve user experiences, and automate deployment pipelines to ensure zero downtime and optimal service reliability.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Intermediate
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Language

English
Fluent
Hindi
Intermediate

Work Experience

Software Engineer at Netflix
September 1, 2024 - Present
Developed and deployed a scalable, cloud-native customer support chatbot using AWS Lambda, API Gateway, and S3, reducing inquiry resolution time by 30%. Designed and implemented a Retrieval-Augmented Generation (RAG) pipeline to ingest and vectorize over 15M documents, improving answer accuracy by 23%. Built a sentiment analysis module utilizing Python and Hugging Face Transformers to categorize customer queries and route urgent issues. Collaborated with Machine Learning and Data Engineering teams in Agile Scrum, increasing sprint velocity by 20%. Engineered serverless data pipelines with AWS DynamoDB and S3, enhancing data integrity and analytics readiness. Integrated third-party CRM APIs, improving chatbot functionality and customer satisfaction by 25%. Automated CI/CD pipelines using AWS CodePipeline, CodeBuild, and Spinnaker with canary deployments and auto-rollbacks, reducing production issues by 35%.
Software Engineer at American Express
July 31, 2023 - July 24, 2025
Developed scalable web applications using Spring MVC with RESTful and GraphQL APIs, implementing secure OAuth2 authentication. Built high-performance microservices with Spring Boot and gRPC, reducing payment processing latency by 40%. Optimized PostgreSQL databases for real-time UPI transaction processing, improving throughput. Led testing efforts with JUnit, Mockito, and Postman achieving 95% code coverage and reducing defects by 45%. Migrated legacy monolithic applications to AWS EKS with Istio service mesh and auto-scaling, achieving 99.99% availability and reducing costs. Created front-end environments with React.js and Redux, improving UI creation speed and web vitals scores. Improved J2EE performance by optimizing JSP rendering and session management.
Associates Software Engineer at Accenture
May 31, 2021 - July 24, 2025
Developed and maintained backend microservices using Java, Spring Boot, and RESTful APIs for a healthcare patient data platform with 99.9% availability. Integrated Azure AI Document Intelligence to automate forms processing with OCR and custom NLP models, reducing manual data entry costs by 45%. Delivered full-stack e-commerce applications with Angular 12, Node.js, and MongoDB, improving conversion rates and reducing cart abandonment. Designed user-friendly UI/UX workflows with Figma and Angular Material, increasing user engagement and cutting support tickets. Applied Agile methodologies and Test-Driven Development (TDD), enhancing release quality and reducing bugs by 25%. Implemented CI/CD pipelines with Jenkins and Azure DevOps featuring Blue-Green deployments ensuring zero downtime.

Education

Master’s at Florida Atlantic University, Florida, USA
January 1, 2018 - December 31, 2020
Bachelor’s at Lovely Professional University, Punjab, India
January 1, 2013 - December 31, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Healthcare, Consumer Goods