M Shetty

About M Shetty

As a Software Engineer at American Airlines, I design and scale the distributed systems behind flight booking, ticketing, and real-time disruption recovery services processing 4.2M+ transactions daily at 97.99% availability for millions of travelers.Over 3+ years across aviation, healthcare, and fintech, I’ve consistently delivered measurable impact:• 30% reduction in p95 latency across high-throughput APIs• 41% fewer reconciliation mismatches in distributed payment pipelines• 40% faster incident recovery (MTTR) through SLO-driven observability• 32% reduction in rollback incidents after leading a monolith-to-microservices migration• 25% infrastructure cost savings through ECS autoscaling and cloud optimizationWhat I work with daily: Java, Spring Boot, Apache Kafka, PostgreSQL, Redis, AWS (ECS, Lambda, S3), Docker, Kubernetes, Terraform, Prometheus, Grafana, OpenTelemetry. I also integrate production-grade AI (Claude API, GPT-4, LangChain) into high-throughput systems with strict transactional guarantees.I care about systems that are correct first and fast second. I write RFCs before code, run blameless post-mortems, and believe the best infrastructure is the kind nobody notices because it just works.Open to backend, platform, and infrastructure engineering roles where reliability and system design are first-class concerns.

Experience

1. Software Engineer

   American Airlines

   Jun 2025 — Present · Fort Worth, TX, US

   I build and scale the distributed backend systems behind American Airlines’ flight booking, ticketing, and reservation platform services processing 4.2M+ daily transactions at 97.99% availability.Key contributions:• Led monolith-to-microservices migration for reservation services using Kafka event-driven architecture, reducing rollback incidents by 32% and infrastructure costs by 25%.• Architected cross-domain disruption-response platform unifying 6 services via Kafka event contracts and centralized RBAC, cutting onboarding time by 40%.• Designed SLO-aware deployment pipelines with canary releases (Terraform, K8s/ECS) and golden-signal dashboards (Prometheus, Grafana, OpenTelemetry), reducing change failure rate by 27% and MTTR by 40%.• Engineered AI-augmented disruption intelligence using Claude API with LangChain orchestration, reducing support escalations by 22% and sensitive data exposure by 52%.• Own capacity planning and autoscaling policies across 12 ECS services; participate in 24/7 on-call for Tier-1 services.• Author technical RFCs, lead cross-functional design reviews, and mentor junior engineers on distributed systems patterns.

Education

• Southern New Hampshire University

  Master of Science - MS, Information Technology