Bengaluru, Karnataka, India
Thanks for stopping by By day, I engineer data systems at Visa — building infrastructure that processes millions of transactions reliably, at scale. Outside of that, I'm focused on a specific problem: professional services firms are sitting on massive efficiency gaps that AI can close. Intake still happens over phone calls. Document collection is still done by email chains. Deadline tracking still lives in spreadsheets. I build systems that change that — AI intake assistants, automated document pipelines, multilingual client communication, and smart deadline workflows — all without disrupting how the firm already operates. If you're a firm owner thinking about where AI fits in your workflow, I'm always open to a conversation. https://mrayyan-website-67533200041.us-central1.run.app/
Building infrastructure that processes billions of financial transactions in real time for one of the world's largest payment networks. At Visa, I work on AIAS (Visa AI as a Service) — the platform powering ML-driven fraud detection and risk scoring across global payments. My focus is designing systems where failure is simply not an option. Key contributions: - Architected a distributed data pipeline processing with sub-10ms latency SLA - Built auto-scaling infrastructure that handles 10x peak traffic without degradation - Engineered delivery guarantees (Exactly-Once processing) ensuring zero data loss across Kafka streams at planetary scale - Reduced compute costs by 40% through batching and resource optimization - Maintained 99.99% uptime on mission-critical financial infrastructure - Ensured PCI DSS compliance across all data pipelines Stack: Python · Ray · Kafka · Redis · Kubernetes
Built AI and data systems for one of the world's largest travel technology companies, serving airlines across 160+ countries. My work spanned two areas: AI-powered tools for domain professionals, and large-scale data pipelines for real-time pricing decisions. Highlights: - SabreGPT — Built an AI assistant that converts natural language into complex pricing rules, removing the need for manual configuration by non-technical airline staff. Used Google VertexAI, RAG architecture, and BigQuery. Won the company-wide "Global Blitz" innovation competition (global participation across all Sabre offices). - Offer Translator — Designed PySpark pipelines to process and convert large volumes of airline pricing data for downstream optimizer teams across multiple integrated systems - Dynamic Availability — Built REST APIs and Spring Boot services for real-time airline availability and revenue optimization workflows Stack: Python · PySpark · Java · VertexAI · RAG · BigQuery · GCP · Spring Boot · MongoDB
Developed API monitoring and observability tools using Spring Boot and the BMC Patrol Agent — an enterprise telemetry platform used by global IT operations teams. Built REST APIs for internal tooling and gained foundational experience in enterprise software development, monitoring systems, and distributed application architecture. Stack: Java · Spring Boot · MongoDB · GitHub