Maharshi Patel

Engineered Java 21 Spring Boot microservices for real-time fintech fraud monitoring, processing 3M+ transactions/min and reducing detection latency to <2 seconds using Kafka, Flink, Stripe, and Plaid APIs. Built event-driven transaction pipelines with Kafka Streams, gRPC, and SWIFT integration, enabling real-time risk scoring and improving fraud detection accuracy by 35%. Developed secure REST & GraphQL APIs using Spring Boot 3, Spring Security, OAuth2, OpenID Connect, and JWT, integrating Visa, Mastercard, and Plaid payment services. Created dashboards with React, TypeScript, and Next.js to visualize fraud analytics from Stripe, PayPal, and Plaid data, reducing manual investigation time by 50%. Implemented AML/KYC compliance microservices integrating Trulioo, Plaid, Stripe, and AWS, automating regulatory monitoring and reducing compliance workload by 40%. Optimized analytics pipelines using Elasticsearch, Redis, and PostgreSQL on Stripe, PayPal, and SWIFT datasets, improving fraud que

Engineered Java 11 microservices for multi-channel payment reconciliation, integrating Razorpay API, reducing mismatches across UPI and card payments by 45% and accelerating finance workflows. Developed Apache Kafka event pipelines for real-time settlement processing, enabling 10M+ transactions daily with Paytm Wallet API, decreasing processing latency from 8 hours to 30 minutes. Built GraphQL APIs with Spring Security and OAuth2, integrating Stripe payment API and Azure to secure transaction and merchant data across distributed financial services. Designed Angular/TypeScript dashboards visualizing reconciliation and dispute reports, leveraging NgRx state management, improving finance team productivity by 60%. Implemented AI-driven credit risk scoring using TensorFlow and MLflow, analyzing alternative data from Plaid API, improving loan approval accuracy and reducing defaults by 28%.