Ria Jain

Software Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Key Highlights

Led transformation of a chatbot to enterprise-grade application.
Developed over 30 APIs for enhanced digital services.
Expert in Java and AWS technologies.

Stackforce AI infers this person is a Backend Developer with expertise in Government Technology and Cloud Solutions.

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Skills

Core Skills

JavaAwsBackend DevelopmentApi Development

Other Skills

ReactMicroservicesDesign PatternsHigh Level Design of ComponentsIntegrationNoSQL DataBasesDynamo DBLambdaDatabase OptimizationGoogle CloudLLM ConfigurationWeb DevelopmentMachine LearningData StructuresFront-end Development

About

Part of the Payments Team at Amazon. Tech Stack : Java, React, Microservices, Design Patterns, High Level Design of Components, Integration, NoSQL DataBases, Dynamo DB, Lambda, AWS, Computer Science Fundamentals, Data Structures and Algorithms, System Design, Cloud Platforms, Git, Jira, Docker.

Experience

4 yrs 7 mos

Total Experience

1 yr 10 mos

Average Tenure

10 mos

Current Experience

Amazon

SDE-2

Jul 2025 – Present · 10 mos · Bengaluru, Karnataka, India

Part of the Payments Team at Amazon.
Tech Stack : Java, React, Microservices, Design Patterns, High Level Design of Components, Integration, NoSQL DataBases, Dynamo DB, Lambda, AWS.

JavaReactMicroservicesDesign PatternsHigh Level Design of ComponentsIntegration+4

Bain & company

Software Engineer II

Apr 2025 – Jun 2025 · 2 mos · Bengaluru, Karnataka, India

Deloitte

Software Engineer

Sep 2022 – Mar 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India

As a Backend Developer, I transformed the State of Michigan’s Policy Engine ChatBot from a proof-of-concept to an enterprise-grade application, driving three major releases and enhancing digital service capabilities. I led the end-to-end development, implementing local testing environments, streaming response management, and a key Analytics Dashboard, which enabled data-driven decision-making. I developed over 30 APIs, optimized database scripts for 235 policy documents, and evaluated Claude Sonnet for optimal LLM configuration. My work improved response times, policy compliance, and scalability, deploying to 1,800 users with plans for 6,000 statewide, leveraging Google Cloud and Gemini LLM for a fully serverless implementation.

Backend DevelopmentAPI DevelopmentDatabase OptimizationGoogle CloudLLM Configuration