• Architected a distributed Real-Time Fraud Prevention Platform (Lambda architecture) on AWS (Kinesis, Glue, S3, Lambda, DynamoDB), designing a custom data aggregation and feature serving framework for ML models. Built a team and led the development across multiple organizations, launching ahead of schedule. Saved the company millions of dollars by replacing a third-party solution with this new system. Reduced E2E latency by 90%, increased risk approval rates by 3% without increasing loss rates, and improved customer experience through reduced false positives.

• Spearheaded the creation of an ML-driven Smart Routing system, architecting a Contextual Bandit model with Continual Learning to optimize payment gateway selection. Built and mentored the team to develop the end-to-end training and serving pipelines on AWS SageMaker, resulting in a significant lift in revenue capture.

• Modernized the legacy monolithic payments system by designing a new microservices architecture, leading the adoption of microservices design principles across the organization and driving execution across multiple teams. Led the development in Java/Spring, AWS EC2, DynamoDB, and SQS. Reduced time-to-market for new features by 80%, increased code maintainability, and improved release cycles.

• Designed and developed a general-purpose Distributed Transaction Orchestrator (Saga Pattern) to manage eventually-consistent business workflows. Led multiple teams for its adoption throughout the organization, standardizing critical data consistency patterns and eliminating significant engineering overhead for complex transactions.

• Partnered with cross-functional Data Science teams to develop and operationalize ML solutions for high-value business problems, including Game Recommendation (Collaborative Filtering), IT Cluster Monitoring (Time-Series/ARIMA), and User Spending Behavior prediction.

• Architected and led the development of the ThingSpace IoT platform for connectivity management and analytics, supporting billions of devices and massive data volumes across multi-data center deployments (thingspace.verizon.com).

• Designed the microservices architecture and set the technical direction for Reporting REST APIs. Led multiple project teams in development using Java, Spark, Scala, Kafka, and S3, deploying via Docker containers on Apache Marathon/Mesos with elastic HAProxy load balancing.

• Designed complex NoSQL (Cassandra) data models, defining partitioning and replication strategies to optimize storage, retrieval, and write-throughput for big data.

• Architected and developed Unified Web Services (SOAP APIs) enabling application developers to manage large-scale M2M/IoT device connectivity on the Verizon Wireless network (m2mdeveloper.verizon.com).

• Architected and led the development of highly scalable n-tier applications (CRM, ERP, web/e-commerce) that automated business processes and dramatically improved internal efficiencies.

• Defined technology roadmaps, established coding standards, and led the development of business automation systems using SQL Server, .NET, and C#.

• Designed and developed the WebEFT application, enabling electronic funds transfers over the web for collections/disbursements of funds.

• Implemented secure audit/trail and password encryption functionality using Visual C++, MFC, and CryptoAPI.