Aditya Nigam

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI Enabled

Key Highlights

Implemented cost-saving strategies saving $12,500/month.
Boosted code coverage by 22% through rigorous testing.
Awarded MVP for driving critical tech initiatives.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer in the SaaS industry.

Contact

aditya.nigam@swiggy.in LinkedIn

Skills

Core Skills

MicroservicesJavaJavascript

Other Skills

API RefactoringAWSAWS CloudFormationAWS CloudTrailAWS LambdaAWS S3AlgorithmsAmazon CloudWatchAmazon DynamodbAmazon ECSAmazon EKSAmazon Elastic Container Registry (ECR)Amazon Relational Database Service (RDS)Amazon Web Services (AWS)Anthropic Claude

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Swiggy

Software Dev Engineer - I

May 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · Remote

Spearheaded a progressive config rollout framework for 50 Swiggy apps, across 1100+ cities & 500+ versions.
Enabled and launched 1000+ features with safe, granular rollouts and instant rollback.
Developed an SDK with in-memory cache and poller for fetching environment variables, optimizing config management across 200+ microservices.
Designed and implemented a compression strategy for intra-service communication, saving more than
$12,500/month and 10,000 TB of I/O, enabling reinvestment into system enhancements.
Awarded MVP and AI Explorer at Swiggy for driving critical tech charters, reducing alerts by 90%, and leveraging GenAI effectively.

MicroservicesJavaSpring BootAWSDockerKubernetes+3

Jfrog

Software Engineer Intern

Jul 2023 – Mar 2024 · 8 mos · Bengaluru, Karnataka, India · On-site

Engineered the Log Service microservice, optimizing logging processes and reducing database storage by 60%.
Transitioned pipeline run-service from API calls to direct database access, cutting API load by 1.58%.
Authored unit tests using Jest, boosting code coverage by 22%.
Collaborated on API refactoring, applying DDD principles and achieving a 93.3% performance improvement.

MicroservicesJavaScriptJestDDDAPI Refactoring