Ravi Raizada

• Leading the technical insourcing of Visa Pay, transitioning the core interoperability platform from Juspay to internal Visa infrastructure.
• Designing the internal high-availability environments and API orchestration layers that allow digital wallets to interoperate globally.
• Planning the live migration strategy for existing high-volume clients, prioritizing zero-downtime cutovers and strict API backward compatibility.
• Audited the inherited third-party codebase to identify technical debt and shape the engineering roadmap for post-migration performance and scaling.
• Using agentic AI workflows and autonomous CLI tools to accelerate infrastructure setup and automate complex data mapping tasks.
• Integrating with VTS and Pismo for core tokenization and account credentialization, bringing the platform in line with Visa’s regional security and compliance standards.

• Optimized API-centric infrastructure to support 1M+ daily requests, reducing response times by 40% and maintaining 99.98% uptime.
• Architected a 10TB+ data migration from ELK to Hadoop and Druid, improving query speed by 3x and reducing storage costs by 25%.
• Built real-time data pipelines using Spark and Airflow, processing 100K+ events per second and reducing ETL processing time by 50%.
• Reduced technical debt by 40% through comprehensive code refactoring, resulting in a 25% faster execution time for core business applications.

• Led the transformation of 3+ monolithic applications to microservices, tripling system scalability and accelerating deployment cycles by 40%.
• Migrated critical enterprise applications to GCP, reducing infrastructure overhead by 20% and improving overall deployment agility.
• Increased test automation coverage by 40% through BDD implementation, significantly reducing regression-related production issues.

• Engineered a high-performance microservice for SFTR Trade reporting that processed 500K+ daily transactions, ensuring 100% regulatory compliance.
• Automated deployment workflows by designing a CI/CD pipeline on Jenkins, resulting in a 60% reduction in deployment time and enabling zero-downtime releases.

• Architected a Custom Hooks Framework using Rhino Script Engine API, allowing administrators to configure system operations dynamically.
• Optimized core system performance by 40% through the implementation of lazy loading, WebSockets for real-time updates, and intelligent caching mechanisms.

• Thesis: FRAUD REVIEWS DETECTION SYSTEM TO ENHANCE THE CUSTOMER PURCHASE DECISIONS

GPA: 8.8