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I am a Software Engineer with over 5 years of experience in designing, developing, and deploying scalable backend and full-stack applications. I have worked across enterprise, cloud-native, and customer-facing platforms, specializing in microservices architectures and cloud solutions using AWS and Azure. I am proficient in Java, Spring Boot, Python, Node.js, and modern frontend frameworks, and have experience with RESTful and GraphQL APIs, CI/CD automation, and real-time data pipelines. I have collaborated in Agile/Scrum teams, contributed to AI-powered features, and led Kubernetes migrations and enterprise modernization initiatives. I have hands-on experience with machine learning engineering collaboration, productionizing NLP models, implementing Retrieval-Augmented Generation pipelines, and deploying real-time sentiment analysis solutions. My sectors include fintech, healthcare, and consumer technology.…I am a Software Engineer with over 5 years of experience in designing, developing, and deploying scalable backend and full-stack applications. I have worked across enterprise, cloud-native, and customer-facing platforms, specializing in microservices architectures and cloud solutions using AWS and Azure. I am proficient in Java, Spring Boot, Python, Node.js, and modern frontend frameworks, and have experience with RESTful and GraphQL APIs, CI/CD automation, and real-time data pipelines. I have collaborated in Agile/Scrum teams, contributed to AI-powered features, and led Kubernetes migrations and enterprise modernization initiatives. I have hands-on experience with machine learning engineering collaboration, productionizing NLP models, implementing Retrieval-Augmented Generation pipelines, and deploying real-time sentiment analysis solutions. My sectors include fintech, healthcare, and consumer technology.

Sai Pruthvi Singama

Programmer, Developer, Web Developer, +3

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I am a Software Engineer with over 5 years of experience in designing, developing, and deploying scalable backend and full-stack applications. I have worked across enterprise, cloud-native, and customer-facing platforms, specializing in microservices architectures and cloud solutions using AWS and Azure. I am proficient in Java, Spring Boot, Python, Node.js, and modern frontend frameworks, and have experience with RESTful and GraphQL APIs, CI/CD automation, and real-time data pipelines. I have collaborated in Agile/Scrum teams, contributed to AI-powered features, and led Kubernetes migrations and enterprise modernization initiatives. I have hands-on experience with machine learning engineering collaboration, productionizing NLP models, implementing Retrieval-Augmented Generation pipelines, and deploying real-time sentiment analysis solutions. My sectors include fintech, healthcare, and consumer technology.…I am a Software Engineer with over 5 years of experience in designing, developing, and deploying scalable backend and full-stack applications. I have worked across enterprise, cloud-native, and customer-facing platforms, specializing in microservices architectures and cloud solutions using AWS and Azure. I am proficient in Java, Spring Boot, Python, Node.js, and modern frontend frameworks, and have experience with RESTful and GraphQL APIs, CI/CD automation, and real-time data pipelines. I have collaborated in Agile/Scrum teams, contributed to AI-powered features, and led Kubernetes migrations and enterprise modernization initiatives. I have hands-on experience with machine learning engineering collaboration, productionizing NLP models, implementing Retrieval-Augmented Generation pipelines, and deploying real-time sentiment analysis solutions. My sectors include fintech, healthcare, and consumer technology.

Available to hire

I am a Software Engineer with over 5 years of experience in designing, developing, and deploying scalable backend and full-stack applications. I have worked across enterprise, cloud-native, and customer-facing platforms, specializing in microservices architectures and cloud solutions using AWS and Azure. I am proficient in Java, Spring Boot, Python, Node.js, and modern frontend frameworks, and have experience with RESTful and GraphQL APIs, CI/CD automation, and real-time data pipelines.

I have collaborated in Agile/Scrum teams, contributed to AI-powered features, and led Kubernetes migrations and enterprise modernization initiatives. I have hands-on experience with machine learning engineering collaboration, productionizing NLP models, implementing Retrieval-Augmented Generation pipelines, and deploying real-time sentiment analysis solutions. My sectors include fintech, healthcare, and consumer technology.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

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 with AWS Textract and PySpark for document ingestion and vectorization, improving answer accuracy by 23% and reducing irrelevant responses by 40%. Built a real-time sentiment analysis module using Python and Hugging Face Transformers to classify customer queries by emotional tone, enabling proactive escalation. Collaborated with Machine Learning and Data Engineering teams in an Agile Scrum environment, increasing sprint velocity by 20%. Engineered serverless data pipelines with AWS DynamoDB and S3, improving data integrity and analytics readiness. Integrated third-party CRM APIs and knowledge bases to enhance chatbot functionality, increasing informational accuracy by 25%. Automated CI/CD pipelines using AWS CodePipeline, CodeBuild, and Spinnaker with canary deplo

Associate Software Engineer at American Express

July 31, 2023 - August 1, 2025

Developed scalable web applications using Spring MVC with RESTful and GraphQL APIs and secure OAuth2 authentication. Built high-performance microservices with Spring Boot and gRPC, reducing payment processing latency by 40% and supporting over 5,000 TPS during peak traffic. Optimized PostgreSQL databases for real-time UPI transaction processing, enhancing throughput to over 1,000 TPS. Led comprehensive testing with JUnit, Mockito, and Postman achieving 95% code coverage, reducing defects by 45%. Migrated legacy monoliths to AWS EKS with Istio service mesh and auto-scaling, achieving 99.99% availability and reducing cloud costs by 25%. Designed dynamic frontend interfaces using React.js with Redux, improving UI development speed by 30% and Core Web Vitals by 15%. Mentored junior engineers, enabling production deployment capabilities within 3 months through hands-on training.

Software Engineer at Accenture

May 31, 2021 - August 1, 2025

Developed and maintained backend microservices using Java, Spring Boot, and RESTful APIs for a patient data management platform with 99.9% availability. Integrated Azure AI Document Intelligence for healthcare forms automation, reducing manual costs by 45%. Delivered full-stack e-commerce apps with Angular 12, Node.js, and MongoDB, improving conversion rates by 22% and reducing cart abandonment by 15%. Designed UI/UX workflows with Figma and Angular Material, increasing user engagement by 30%. Applied Agile and Test-Driven Development, reducing bugs by 25%. Implemented CI/CD pipelines using Jenkins, Azure DevOps, and GitHub Actions with Blue-Green deployments for zero downtime releases.

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 with AWS Textract and PySpark to process over 15 million documents, increasing answer accuracy by 23%. Built a real-time sentiment analysis module using Python and Hugging Face Transformers for proactive customer issue escalation. Collaborated with ML and Data Engineering teams in Agile Scrum, increasing sprint velocity by 20%. Engineered serverless data pipelines with AWS DynamoDB and S3 for conversational data, enhancing analytics readiness. Integrated third-party CRM APIs enriching chatbot accuracy by 25%. Automated CI/CD pipelines with AWS CodePipeline, CodeBuild, and Spinnaker, reducing production issues by 35% and ensuring zero downtime for 15M+ daily users.

Associate Software Engineer at American Express

July 31, 2023 - August 18, 2025

Developed scalable web applications with Spring MVC, integrating RESTful and GraphQL APIs, and secure OAuth2 authentication. Built high-performance microservices with Spring Boot and gRPC, reducing payment processing latency by 40% and supporting over 5,000 TPS. Optimized PostgreSQL databases for real-time UPI transaction processing, cutting latency by 35% and improving throughput to 1,000+ TPS. Led testing with JUnit, Mockito, and Postman achieving 95% code coverage and reducing defects by 45%. Migrated legacy monoliths to AWS EKS with Istio and auto-scaling, achieving 99.99% availability and reducing cloud costs by 25%. Designed React.js frontends with Redux improving UI development speed by 30% and Core Web Vitals by 15%. Mentored 3 junior engineers facilitating onboarding and production capability within 3 months.

Software Engineer at Accenture

May 31, 2021 - August 18, 2025

Developed and maintained backend microservices using Java and Spring Boot for a patient data management platform supporting 8,000+ daily updates with 99.9% availability. Integrated Azure AI Document Intelligence to automate healthcare forms processing with 91% accuracy, reducing manual data entry costs by 45%. Delivered full-stack e-commerce applications using Angular 12, Node.js, and MongoDB, improving conversion rates by 22% and reducing cart abandonment by 15%. Designed UI/UX workflows with Figma and Angular Material that boosted user engagement by 30% and cut support tickets by 40%. Practiced Agile and TDD improving release quality and reducing bugs by 25%. Implemented CI/CD pipelines with Jenkins, Azure DevOps, and GitHub Actions supporting Blue-Green deployments for zero downtime.