I’m a backend engineer with 7+ years building production-grade systems across fintech and data platforms. I focus on Java and Spring Boot, and I own end-to-end delivery of high-impact features with measurable results—better reliability, lower operational cost, and fewer production surprises.
At Altimetrik (Airbnb), I onboarded an internal test framework (QuickTest) with record-replay that intercepts and caches inter-service calls in YAML, significantly reducing integration test execution time across CI runs. I also automated pre-release deployment validation via a custom CI pipeline step, which reduced rollback incidents caused by undetected configuration drift. To improve operational visibility, I built Grafana dashboards and alert rules for staging failures in secondary flows, cutting mean time to detection for pre-production incidents.
Earlier, at Credit Saison, I worked in the Loan Collections team integrating with the Loan Management System and overdue collections workflows. I optimized EMI presentment for E-Mandates across PSP Aggregator to PSP vendor flows, reducing presentment fees by 28%, and built a CSV import solution for offline mandates to eliminate manual processing. I also integrated with Cadre to streamline legal filings and reduce legal costs by 85%, and authored AWS CloudFormation IaC templates to provision SQS, SNS, and Lambda infrastructure.
Across Sigmoid and prior fintech work, I’ve migrated critical reporting tooling to AWS, designed AWS Glue jobs for incremental loads into Amazon Redshift, and automated third-party report generation with cross-verification for audit readiness. I also bring strong testing and observability habits—using JUnit/Mockito and metrics/alerts with Grafana, Datadog, and AWS CloudWatch—so systems stay robust as scale and requirements evolve.
