Praful Gupta

Software Engineer

London, England, United Kingdom3 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Designed scalable solutions for AWS MDE impacting 4000+ TPS.
Improved AWS MDE launch latency by 90% through load testing.
Developed innovative A/B testing frameworks enhancing performance.

Stackforce AI infers this person is a Cloud Computing Engineer with a strong focus on scalable backend solutions.

Contact

prafulgupta6@gmail.com LinkedIn

Skills

Core Skills

Amazon Web Services (aws)Software DevelopmentBackend EngineeringWeb DevelopmentSearch InfrastructureOperational Tracking

Other Skills

A/B TestingAWS CloudFormationAWS EC2AWS ECSAWS LambdaAWS MDEAWS S3Adobe PhotoshopAdobe Premiere ProAmazon DynamodbAmazon EC2Amazon ECSAmazon S3Amazon SQSAndroid

About

I’m a Software Development Engineer at Amazon Web Services (AWS), where I help build and scale foundational development tools like AWS CloudShell, AppStudio, CodeCatalyst, Amazon Q, and several AI-related services powered by robust compute infrastructure. My work focuses on AWS Managed Development Environment (MDE), a fully managed service available in 30+ AWS Regions, enabling safe, scalable, and sandboxed compute environments for developers. Graduated with a B.Tech in Computer Science from IIT Ropar, demonstrating expertise in distributed systems and cloud computing. I'm passionate about designing robust, scalable solutions with a deep focus on developer experience, and I bring solid hands-on skills in Golang and the AWS ecosystem. Previously, I’ve contributed to backend engineering at Mercari (Tokyo) and Flipkart (Bangalore), where I built scalable data pipelines, A/B testing platforms, and search infrastructure that significantly improved performance and operational efficiency. I’m deeply passionate about distributed systems, infrastructure reliability, and developer experience striving to create systems that are not only powerful, but also intuitive and secure.

Experience

3 yrs 8 mos

Total Experience

3 yrs 1 mo

Average Tenure

7 mos

Current Experience

Palantir technologies

Software Engineer

Nov 2025 – Present · 7 mos · Greater London, England, United Kingdom · On-site

AWS MDEAWS EC2AWS ECSAWS S3AWS LambdaAWS CloudFormation+4

Amazon web services (aws)

Software Development Engineer

Oct 2022 – Nov 2025 · 3 yrs 1 mo · Berlin, Germany · On-site

Designed and led the implementation of AWS MDE Customer Logs feature, eliminating security concerns related to presence of customer credentials within the environment while improving system observability and maintainability; this feature currently serves 4000+ TPS per region and is scalable for projected future load.
Designed and implemented centralized AWS MDE Instance Catalog, streamlining instance configuration management across multiple MDE teams and services, facilitating easier validations and updates across service, reducing onboarding time for a new instance type.
Created and executed comprehensive load tests for the new AWS MDE ECS on EC2 platform and On-demand/GPU instances, identifying multiple service bottlenecks and addressing critical issues, leading to successful launch of AWS App Studios and AWS Q Transform and an overall decrease of AWS MDE environment launch latency by 90%.
Drove the implementation of KMS key support for AWS App Studios / CloudShell, collaborating across teams to enable CMCMK (Customer Managed CMK) encryption enhancing data security and control within cloud environments.
Collaborated with multiple AWS service teams to implement On-Demand Capacity Reservation (ODCR) support in AWS MDE, improving startup latency and availability in high-demand regions.
Working on developing AWS MDE (Managed Development Environment), a fully managed service available in 40+ AWS Regions that provides safe, scalable and sandboxed compute containers optimized for software development use cases.
Using services such as AWS EC2, ECS, S3, EBS, EFS, SQS, APIGW, Lambda, SSM, Fargate, CloudWatch, CloudTrail, SFN, KMS, DDB, ECR and others for development and operations.

GoElasticsearchKubernetesA/B TestingSoftware DevelopmentBackend Engineering

Mercari, inc.

Software Engineer Intern (Backend)

Jan 2022 – Jun 2022 · 5 mos · Tokyo, Japan

Created a Go-based multi-threaded data ingestion pipeline, processing millions of catalog data into Elasticsearch.
Developed a template-based A/B test framework, enabling simultaneous testing and increasing sell-through rates.
Enhanced cache refresh strategies in Kubernetes, saving approximately ¥90K per month per pod by implementing incremental updates.

DjangoSemantic SearchEmailing ServiceSoftware DevelopmentWeb Development

Flipkart

Software Developer Intern

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

Developed a Django based web application which significantly reduced first respond time for on‑call personnel by 80%.
Integrated semantic search in the application using Haystack framework for fast querying of documents and scalability.
Developed a cron‑based emailing service to generate and send daily issue reports, improving team visibility and operational tracking.

DjangoSemantic SearchCron JobsWeb Development