Software Engineer at S&P Global (2025-06 – Present)
Tech Stack: AWS, Terraform, GitLab CI/CD, SQL, Python, Spring Boot
- Built multiple AWS Lambda–based utilities to automate internal workflows and monitoring, reducing manual intervention by an estimate of 30-40% in some of the manual tasks
- Designed and deployed monitoring and alerting pipelines using Splunk and AWS EventBridge for production services, improving incident detection and response time
- Led the development of a centralized health-check platform spanning 10+ products, using 5+ orchestrated AWS Lambda functions and cross-account access to comprehensively validate AWS services, databases, and APIs; automated report generation and delivery through S3, dashboards, and email
- Developed reusable Terraform modules and standardized GitLab CI/CD pipelines across projects
- Improved incident handling by optimizing ServiceNow–PagerDuty integration via a custom API-driven solution
- Executed Disaster Recovery (DR) drills to validate failover mechanisms within defined RTO/RPO targets
Software Engineer Intern at S&P Global (2025-01 – 2025-06)
Tech Stack: Spring Boot, AWS: Lambda, SQS, RDS, EventBridge
- Worked on an AWS Lambda based Spring Boot application responsible for processing high-frequency (∼ 500 ms) market data
- Implemented custom transformation logic and persisted processed records to an RDS PostgreSQL database in a batched manner ( > 1000 records per run)
- Contributed to backend data-flow handling involving Redis as an intermediate buffer for incoming real-time events, by ingesting the cached data every 5 minutes
Open Source Contributor at OWASP ZAP (2023-02 – 2023-02)
Tech Stack: Java, Swing, Apache HttpClient, JUnit
- Fixed false positives in active and passive security scanning rules, improving scan accuracy
- Fixed a crash-causing bug during extension uninstallation by correcting extension lifecycle handling
- My PRs -
