High-impact systems I've designed and shipped.
Amazon
Sept 2025 โ Present
Engineered modernization of payment pipelines used by 10+ teams under the SPEED program, enabling standardized, scalable, and compliance-ready processing across Retail, CorpEx, and Digital workflows.
Built and operated production-grade payment services with end-to-end ownership of monitoring, alerting, automated rollbacks, and fault handling using AWS (Lambda, SQS, SNS, Fargate, CloudWatch).
Reduced engineering development effort by automating and optimizing payment pipelines, eliminating manual production deployments and strengthening internal compliance controls.
Accelerated compliance-driven change rollouts by automating production deployment workflows, ensuring full auditability and zero manual intervention.
tiket.com
Jun 2023 โ Sept 2025
Developed a common Integrator Framework to onboard new OTA vendors, enabling expanded inventory and customer options. Drove sustained GBV growth with each new vendor added.
Built a module managing multiple rate keys from external vendors, optimizing pricing strategies for both B2C and B2B clients with user-group-level tailoring.
Led migration of a critical service to streamline processes, enhance Grafana monitoring, and improve overall resource management in production.
Designed a real-time inventory Change Discovery System that detects and selectively inserts data changes, ensuring data consistency across 10K+ properties.
Built a service enabling property partners to reply to guest messages directly from email, dramatically improving OTA partner communication.
Resolved 100% of data inaccuracies from a race condition in the sync cron job using fine-grained locking and atomic operations.
Created reconciliation jobs and automated mismatch alerts post-sync, ensuring data accuracy and enabling timely issue resolution across services.
tiket.com
Jun 2022 โ May 2023
Designed and implemented APIs and messaging queues across 10+ microservices, optimizing system integration and inter-service communication.
Integrated key metrics across API endpoints, Kafka event flows, and DB queries to bolster observability and support data-driven debugging.
Adopted TDD and unit testing across the codebase, catching a critical bug in the process. Substantially improved confidence in deployments.