Kayvan Tehrani

Owned end-to-end integration for the AMEX acquirer and onboarded Mollie from sandbox to production, aligning SDK adoption and compliance requirements. Built a new integration microservice with Spring Boot and PostgreSQL on AWS (SNS) and the ELK stack, and evolved the transaction API with backward-compatible allocation-based requirements.

Took end-to-end ownership of the AMEX acquirer integration, driving SDK adoption, certification, and compliance alignment, and onboarded Mollie as the first live client. Designed and built a new Spring Boot integration microservice with PostgreSQL and AWS SNS, evolving the transaction API for allocation-based requirements while preserving backward compatibility.

Took end-to-end ownership of the AMEX acquirer integration, driving SDK adoption and compliance alignment while onboarding Mollie from sandbox to production. Built a Spring Boot integration microservice and evolved the transaction API for allocation-based requirements with backward compatibility, using AWS SNS event-driven processing, ELK-based debugging, and AI-assisted development for faster del

Founded and built an AI-powered payment reconciliation SaaS for UK SMEs from zero to production as a solo engineer, matching incoming bank payments to invoices using machine learning. Owned the full stack implementation, integrating Open Banking API connections with Stripe, PayPal, and Xero and embedding AI tooling across design, implementation, and delivery.

Founded and built Ledgiq, an AI-powered payment reconciliation SaaS for UK SMEs that connects Open Banking, Stripe, PayPal, and Xero to match incoming payments to invoices using machine learning. Owned end-to-end full-stack delivery (Spring Boot backend, LangChain matching pipeline, and CI/CD) while integrating AI tooling throughout design, implementation, testing, and documentation to accelerate

Built backend APIs for high-throughput data pipelines in a hybrid Azure/AWS environment, processing millions of records daily with sub-200ms p99 latency targets. Delivered a Go/React internal interview evaluation portal, replaced batch processing with Kafka/Redis streaming to cut data latency from hours to seconds, and improved observability to reduce MTTR by ~40%.

Led backend API development for high-throughput data pipelines in a hybrid Azure/AWS environment, processing millions of records daily with sub-200ms p99 latency targets. Built a Go + React internal evaluation portal, implemented real-time streaming with Spring Boot/Kafka/Redis to cut data latency from hours to seconds, and reduced MTTR for production incidents by ~40% through improved observabili

Led backend API development for high-throughput pipelines in a hybrid Azure/AWS environment, targeting sub-200ms p99 latency while processing millions of records daily. Built streaming services that reduced downstream data latency from hours to seconds and established observability with Grafana and alerting to reduce MTTR by ~40%.

Maintained and enhanced components of an international payment processing system for the Spanish market using Java, Spring Integration, and PostgreSQL. Performed root-cause analysis for production incidents and improved monitoring to increase transaction reliability.

Maintained and enhanced components of the international payment processing system for the Spanish market using Java, Spring Integration, and PostgreSQL. Performed root-cause analysis for production incidents and improved monitoring to increase transaction reliability.

Migrated monolithic order and logistics services to domain-driven microservices on Kubernetes, improving deployment independence and fault isolation across squads. Optimized large-scale data processing using a data mesh approach with PySpark and Spring Boot, reducing pipeline execution times for analytics consumers.

Led core banking engineering across ACH integration, RTGS support and migration, and a greenfield ISO 20022 Instant Payment platform with sub-second end-to-end processing and idempotent retry flows. Built IBM MQ/DB2/Oracle message-driven pipelines with robust error handling and dead-letter strategies, established PCI-DSS-aligned CI/CD using GitLab, Jenkins, and JFrog Artifactory, and mentored engi

Grade: GPA: 3.17 / 4.0

Earned a Bachelor of Computer Engineering at Islamic Azad University from 1998 to 2002, achieving a GPA of 3.17/4.0.