Abhishek Ray

Software Engineer

Delhi, India2 yrs 3 mos experience

Key Highlights

Contributed to patentable ideas for Samsung smartphones.
Awarded 'Software Competency Professional Grade' at Samsung.
Delivered 10+ P1 features at Amazon for Alexa Data Services.

Stackforce AI infers this person is a Fullstack Software Engineer with expertise in SaaS and cloud-based architectures.

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Skills

Core Skills

JavaSpring BootC++

Other Skills

REST APIsDynamoDBReactJSAWS LambdaCypressGraphQLDockerAWS SagemakerProblem SolvingSystems DesignDistributed SystemsScalable ArchitectureContinuous Integration and Continuous Delivery (CI/CD)ScrumAgile Methodologies

About

Software Engineer with 3 years of experience building production-grade full-stack & backend systems at scale, specializing in Java, Spring Boot, AWS, and distributed architectures. At Amazon, I contributed to Alexa Data Services, where I built and integrated REST APIs, delivered user-facing features across multi-service systems, and developed workflows powering AI/ML pipelines in AWS Sagemaker. Currently, I'm contributing to Kafbat UI, an open-source project in the backend/cloud ecosystem. I enjoy solving complex technical problems, working in agile, cross-functional teams, and continuously learning new technologies. My interests include system design, distributed systems, and scalable backend architectures — with a passion for delivering clean, maintainable, and impactful software. Career Highlights: - Worked on patentable ideas for Samsung smartphones, OS upgrade - Got awarded "Software Competency Professional Grade" certification for coding skills at Samsung Research Institute Noida. - At Amazon Hyderabad, worked on Full-stack development for Alexa Data Services (ADS) in production-grade, multi-service systems with deep cross-team dependencies. Expertise: Knowledge of data structures and algorithms. Languages: Java, C++, Python, JavaScript, TypeScript, HTML, CSS Backend: Spring Boot, Hibernate, JPA, REST APIs, AWS Lambda, Node.js, GraphQL,Kafka Frontend: ReactJS, Redux, Cypress, React Hooks, UI Canvas Cloud/Infra: AWS (EC2, ECS, API Gateway, SQS, State Machines, Pipelines), Docker, Databases: MySQL, DynamoDB, Datamart DevOps/Tools: Maven, Jenkins, ELK Stack, AAA Auth, Smithy Model Methodologies: Agile (SCRUM), SDLC, CI/CD Architecture: Microservices, Distributed Systems

Experience

2 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Amazon

SDE

Jan 2022 – Jun 2023 · 1 yr 5 mos · Hyderabad, Telangana, India

Full-stack development for Alexa Data Services (ADS) in production-grade, multi-service systems
with deep cross-team dependencies.
Built Java Spring Boot REST APIs for RTF (Real-Time Feedback) feature; connected to
DynamoDB (NoSQL) and integrated with a deeply nested React-Redux frontend for live user
feedback.
Delivered 10+ P1 features in Textract App using ReactJS and AWS Lambda (Node.js); worked on
canvas tools and React hooks, and added new AWS Step Functions to async workflows.
Implemented 50+ automated Cypress test cases to enhance regression coverage for CI/CD
pipelines.
Integrated a highly configurable React-based multimedia player into the HELP Tool, a full-stack
chat system (Spring Boot + React) backed by Datamart (GraphQL). Designed and implemented full-stack changes; tested end-to-end system integration.
Designed and implemented REST APIs in Spring Boot for the SELF Platform, enabling AI/ML
labeling workflows in AWS Sagemaker.
Contributed to three independently owned services, each with unique architectures, teams, and deployment pipelines.
Set up and maintained three isolated local environments (Docker-based, 15–20 min builds),
requiring precision and minimal iteration.
Led integration testing across alpha/beta environments, collaborating with 10–12 engineers
across global teams.
Navigated tightly coupled, multi-service architecture with high cross-team dependency —
managing integration flows, environment coordination, and iterative code reviews.