• Led the design and development of AWS Supply Chain, a serverless application with real-time visibility, AI-driven forecasting, and enterprise data integration to optimize global supply chain operations.

• Architected a real-time inventory tracking feature for AWS Supply Chain using Node.js, AWS Lambda and DynamoDB Streams, enabling millisecond-level updates to supply chain visibility dashboards.

• Integrated Mapbox APIs and Mapbox GL JS to provide geospatial visualizations, including live shipment tracking, warehouse locations, route optimization, heatmaps, and delivery zone mapping with custom data layers.

• Introduced AI-driven forecasting engine in Python, integrating TensorFlow models with a Ruby on Rails backend and exposing predictions through REST APIs for demand fluctuation analysis and inventory optimization.

• Developed a custom event replay system using AWS SQS and Step Functions, allowing reliable reprocessing of failed events in critical workflows, reducing downtime by 90%.

• Built a data transformation pipeline with Python and AWS Glue, automating the ingestion of multi-format enterprise data (CSV, JSON, XML) into DynamoDB for seamless integration.

• Engineered a role-based access control (RBAC) API with Ruby on Rails, leveraging AWS Cognito, with granular permission management across supply chain partners and GraphQL support for secure data access.

• Delivered real-time anomaly detection in supply chain data by integrating AWS Kinesis with Python-based analytics scripts and a node.js alerting service, flagging disruptions with sub-second latency.

• Designed and implemented key features for Square for Restaurants and Square Appointments, leveraging React and TypeScript to create intuitive user interfaces for point-of-sale solutions and appointment management platforms.

• Built scalable backend services using Python, Ruby on Rails, Scala and FastAPI, integrating Kafka for real-time messaging and MongoDB for efficient data storage and retrieval.

• Streamlined payment processing capabilities by integrating Square’s payment API with support for

cryptocurrency payments, ensuring secure and efficient transactions for businesses.

• Improved system performance by implementing load balancing across microservices using NGINX and AWS ALB, reducing latency during high-traffic periods by 40%.

• Built an identity verification module leveraging third-party APIs like Plaid and ID.me, enabling secure customer authentication and compliance with KYC/AML regulations.

• Designed and implemented a data caching layer using Redis, improving query response times by 50% and reducing database load during peak usage.

• Optimized database operations with PostgreSQL by creating efficient indexing strategies and partitioning tables, achieving a 30% improvement in query execution times.

• Introduced serverless workflows with AWS Lambda and Step Functions to process asynchronous booking and payment tasks, improving scalability and fault tolerance.

• Enhanced third-party API integrations, including Stripe and Google Calendar, for seamless payment and

scheduling functionalities, improving user experience and adoption rates.

• Improved appointment and order synchronization by leveraging Kafka for event-driven communication, ensuring reliable, real-time updates with minimal message lag.

• Deployed containerized microservices using Docker and orchestrated them with Kubernetes, ensuring high availability and scalability for critical application components.

• Collaborated in the development of Square's legal compliance platform, designed to onboard and train legal agents, enhancing the security verification process for Square customers.

• Utilized iTrack, Square's internal inventory management tool, to streamline supply chain operations and ensure efficient tracking and distribution of products across multiple regions.

• Implemented microservice architectures to optimize API traffic, upgrading RESTful APIs using Node.js, and Python Django REST framework.

• Contributed to cross-functional discussions, aligning technical efforts with the product roadmap and business objectives.

• Contributed to the development of web applications such as the Trend Analysis Center and Learning Assessment tools, demonstrating adaptability and a strong aptitude for quickly mastering new technologies.

• Improved accessibility UI to enhance usability, ensuring seamless use for all users.

• Created a custom reporting engine with graphical Excel output using the Excel JavaScript API.

• Gained practical experience in Networking, Security, Protocols, Web server, and Cloud Computing utilizing PHP frameworks.