Prakhar Porwal

Software Engineer

Bangalore Urban, Karnataka, India5 yrs experience

Most Likely To Switch

Key Highlights

Expert in building scalable applications with React Native.
Proven track record in improving server-driven UI performance.
Strong background in AWS and database management.

Stackforce AI infers this person is a Fullstack Software Engineer with expertise in scalable application development and cloud technologies.

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Skills

Core Skills

React NativeServer Driven UiAws LambdaSql

Other Skills

Node JsReact.jsPostgreSQLAmazon SQSHTML5Spring BootPython (Programming Language)Change Data CaptureDatabasesREST APIsAmazon Web Services (AWS)LinuxJestJavaAmazon S3

About

Software Engineer with hands-on experience in building Scalable Applications.

Experience

5 yrs

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 11 mos

Current Experience

Flipkart

2 roles

SDE-II

Promoted

Feb 2025 – Present · 1 yr 3 mos

Building a multi tenant cross platform UI
Instrumenting user flows Google and Data analyitcs
Working on improving server driven UI built using React Native and Node Js

React NativeServer Driven UINode Js

Software Engineer

Jun 2023 – Feb 2025 · 1 yr 8 mos

Powering user experiences using React-Native across mWeb, Android and iOS

React.jsReact Native

Yogvedic

Founder

Sep 2022 – Apr 2023 · 7 mos

Borderfree technologies

Software Engineer

Dec 2021 – Aug 2022 · 8 mos · Hyderabad, Telangana, India

Enabled debugging of AWS Lambda in local env resulting in 10x developer productivity.
Enabled Customer to View their Event Analytics which was created on Change data capture from DynamoDB
Event Recording to be downloaded by Brands using Video Recording format convert job using Amazon SQS and MediaConvert.
Made the server stateless by using Token Based Authentication(PASETO) API built with Gin-Gonic and sql generator (sqlc).
Freed up time for manager by removing bad deployments and automated it via CD pipelines.
Improved Latency of Static files by spreading them across the world using CDN. This improved site load times from 10 secs to under 800ms.

SQLPostgreSQLAWS LambdaAmazon SQS