* Architected PayPal's high-visibility Direct Deposit/Direct Debit platform with dedicated Virtual Bank Accounts for ACH inflows (payroll, tax refunds), enabling seamless, fast onboarding and sub -500ms (95th percentile) user experience—down from 1.5+ seconds—while delivering retryable funds flows at 99.995% success rate, seamless dispute handling, and ~$5B annual volume growing at 30-35% annually.

* Designed and led the PayPal's Embedded Tax Filing, reusing the standardized vendor provisioning platform to slash end-to-end onboarding from 2s (95th percentile) to 250ms—driving higher conversion rates and $75M-$80M additional Direct Deposit funds-in revenue—while adding webhook-based error handling and reconciliation for System of Record accuracy, achieving 2-3 week time-to-market.

Payroll Provider onboarding and integration: Engineered Payroll Partner SDK for seamless user updates in payroll providers, enabling 1-2 week onboarding with zero engineering—adding ~$250M to PayPal ecosystem.

* Built Cash-A-Check pipeline: Integration with a third-party SDK that enables phone cameras to capture the check image, create a PayPal transaction, and send the image to the vendor for processing. Listens to a webhook on check processing events and completes the transaction in PayPal System. It adds ~$200M annual ecosystem value.

​​* Implemented an event-driven reconciliation engine that consumes real-time product and transaction events, ensuring data consistency and accuracy by continuously reconciling state against the system of record.

* Led the engineering effort for the InStore-Cash-Deposit product, integrating the PayPal App with major retail networks (Walmart, CVS) using secure barcode workflows and a common vendor onboarding platform, significantly expanding product capabilities.

* Advanced Risk Data Ingestion: Architected a high-throughput, low-latency pipeline to process and standardize Web Browser/Device fingerprinting data, defining a robust risk data attribute schema. This architectural advancement provides the Risk Rule Team with real-time data access for proactive fraud prevention.

* Risk Platform Stability Leadership: Led the technical effort for core Risk infrastructure stability, implementing proactive monitoring and stability improvements. This advancement significantly reduced the mean time to resolution (MTTR) for P0/P1 incidents across critical Payment and Risk systems, improving overall platform reliability.

Core Service Re-Platforming: Led the strategic migration of high-volume, user-facing services and client applications to a modern, concurrent Java/Spring stack, significantly improving scalability and maintainability. Also served as Tech Lead for production run-the-business (RTB) for the User team, streamlining new engineer onboarding for handling complex LIVE production issues and stabilizing key system components.

Slingshot Routing Middleware: Developed the Slingshot Routing Middleware, a high-performance application router and rate-limiting service, managing dynamic routing and implementing throttling to safeguard backend capacity. Simultaneously led the Data Rationalization effort, providing infrastructure to consolidate data dependencies and eliminate SPOF databases, significantly enhancing platform resilience.

Amdocs is leading Telecom Billing Product and Services company. I have worked in Development team to provide engineering services in developing new features and enhancement of the system, fixing defects detected in production/test.

I have acquired core competency in:

• Ensuring bill quality/accuracy for AT&T U-Verse bills and delivery of bill within SLA time period.

• Proficient in Multithreading, Data structures and algorithms.

• In depth knowledge and very strong experience in back-end database programming using PL/SQL stored procedures, functions and triggers.

• Tool developed in Perl UNIX to monitor incoming traffic and response times and alert when it reaches thresholds.

• Tool developed in Shell UNIX to generate process information track report with Memory/CPU/IO with times and volume load.

• Excellent Hands-on experience using debuggers on UNIX and using debuggers (Eclipse and GDB) with strong debugging skills.

Technologies: C++, Perl, Shell, UNIX/Linux, PL/SQL, XML, DOM/SAX Parsing, UML, MS Project, Visio