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.

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

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

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.

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.

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.