Sri Charan G

·       Supported 10–15 startup and mid-size merchants in integrating Stripe payment APIs (Checkout, Billing, and Payouts), assisting with backend implementation and reducing average integration setup time by ~15–20%. ·       Assisted merchants with payment fraud prevention strategies using Stripe Radar, helping configure basic risk rules and transaction monitoring that reduced suspicious payment attempts by ~10–15%. ·       Collaborated with merchant engineering teams to implement secure REST API integrations and webhook-based payment events, improving payment status tracking and reducing payment processing errors by ~10–15%. ·       Reviewed transaction logs, chargebacks, and Radar risk signals to help merchants identify fraud patterns and optimize rule configurations, contributing to improved dispute handling workflows. ·       Provided technical troubleshooting for Stripe integrations, resolving API authentication issues, webhook signature validation errors, and payment lifecycle problems, helping reduce merchant-reported payment issues by ~15–20%. ·       Worked with internal risk and engineering teams to escalate complex fraud cases and integration challenges, helping ensure merchants followed Stripe best practices for secure payment processing.

·       Developed large-scale Java data processing systems, handling millions of records daily with focus on performance and scalability. ·       Designed modular and extensible Java-based pipelines to support evolving business requirements. ·       Implemented and maintained REST APIs for critical system integrations and data exchange. ·       Contributed to CI/CD pipeline improvements for faster and more reliable software deployments. ·       Collaborated with engineering teams to ensure high availability and reliability of production systems, adhering to DevOps principles.

·       Developed and maintained distributed Java services for large-scale data processing in AWS cloud environments. ·       Enhanced service fault tolerance and operational excellence through idempotency, retries, and proactive monitoring. ·       Optimized Java processing workflows to significantly reduce latency and improve system throughput. Utilized various AWS services for building scalable, high-performance cloud-based solutions.

Related Coursework: Python, Probability, Statistical Data Mining in R, ML, DL, Tableau, Postgres, Matlab