Rajat Gupta

Software Engineer

Bangalore Urban, Karnataka, India8 yrs 5 mos experience

Key Highlights

Over 7 years of software development experience.
Expertise in Microservices and AWS technologies.
Led performance optimization projects in Fintech.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with a focus on Fintech solutions.

Contact

Skills

Core Skills

MicroservicesSpring BootAws

Other Skills

Amazon Web Services (AWS)Back-End Web DevelopmentCloud ComputingComputer ScienceDesign PatternsDistributed SystemsGRPCGitlabHigh-Level DesignJavaPerformance OptimizationProblem SolvingPython (Programming Language)REST APIsRESTful WebServices

About

Rajat has more than 7 years of expertise in the software development sector and a wide range of knowledge and skill-sets. He currently holds the position of Lead Engineer @Samsung R&D India, and have worked on Tech stack Java, AWS, spring-boot, GRPC, Distributed Systems and Microservices. He has worked on various challenges and difficulties and how to overcome them while scaling the service to accommodate new business use cases and addressing them with optimum solutions. Prior to that, Rajat was working in Goldman Sachs as a Vice President

Experience

Flipkart

SDE-3

Nov 2024 – Present · 1 yr 4 mos

Samsung r&d institute india

Lead Engineer

Mar 2023 – Apr 2025 · 2 yrs 1 mo · Bengaluru, Karnataka, India · Hybrid

MicroservicesSpring Boot

Goldman sachs

2 roles

Vice President

Promoted

Dec 2022 – Feb 2023 · 2 mos

RESTful WebServicesTerraformComputer SciencePython (Programming Language)High-Level DesignSoftware Design Patterns+12

Associate

Aug 2021 – Dec 2022 · 1 yr 4 mos

1. Worked on several components of the Entitlement Service (Springboot framework with JAVA), which is used for authorization to govern a client's or user's access on a given resource, such as granting or revoking entitlements or permission-related operations like Payments. Handled a variety of business use cases with optimized solutions.
2. Utilized AWS's XRay Service and Datadog to work on the Performance Optimization of the Entitlement Service. By using thread-dump to identify bottlenecks and determine the root cause of each function, it can be optimized.
3. Deploying the service in the US-West region helped to achieve high availability. Taking into account every use case.
4. Developed a library that uses AWS S3, Lambda, and Python to call service management endpoints and retrieve diagnostic artifacts like thread-dump and heap-dump that will aid other developers in performing more in-depth performance optimization.
5. Using the actuator library and adding the necessary Metrics to the Datadog Dashboard as part of the service's monitoring task so that any developer could view the traffic and response times for each request there.

RESTful WebServicesTerraformComputer SciencePython (Programming Language)High-Level DesignSoftware Design Patterns+12