Vinith Kumar Pasula

• Designed & built MOJO, a MERN-based non-EDI order-processing portal used by 50+ customers, processing 5,000+ orders/month.
• Designed and implemented TaylorGate, a driver self-service check-in and dock appointment tool that digitized yard operations, reducing average gate processing time by 30% and cutting manual phone/email coordination by 40%.
• Integrated TaylorGate with D365 Truck Appointments and backend microservices to provide real-time status updates (arrived, in-dock, departed) to MOJO and operations dashboards, improving shipment visibility and on-time departures.
• Developed secure, scalable Node.js/Express microservices for order workflows, payments, logs, and user management integrated with Dynamics 365.
• Built multiple React.js dashboards (orders, search, logs, XML previews, metrics) reducing support troubleshooting time by 50%.
• Implemented Redis caching (ElastiCache) and Kafka event streaming, reducing MongoDB load by 60%.
• Containerized services using Docker, deployed on AWS EKS/OpenShift, ensuring 99.9% uptime.
• Built CI/CD pipelines using GitLab & Harness, reducing deployment rollbacks by 40%.

· Designed and implemented a Document and Compliance Management Platform using the MERN stack (MongoDB, Express.js, React.js, Node.js), enabling secure, scalable document workflows across BMW’s compliance ecosystem.

· Developed RESTful APIs in Node.js/Express.js for document upload, retrieval, version control, and classification, integrating RBAC (Role-Based Access Control) and multi-tenant isolation to meet enterprise privacy and compliance standards.

· Built React.js dashboards for document lifecycle management, including upload tracking, version previews, and audit trail visualization with Material UI and responsive layouts for cross-device compatibility.

· Integrated with OpenText Documentum APIs and Azure Blob Storage, creating a hybrid data layer that securely managed over 10,000+ regulatory records while optimizing retrieval latency and cloud storage costs.

· Enhanced metadata query performance by 60% through Redis caching Azure Cache for Redis and MongoDB Atlas indexed searches, improving application responsiveness for compliance audits.

· Containerized backend services with Docker and deployed on Azure AKS, achieving 99.9% uptime and seamless horizontal scaling across enterprise workloads.

· Automated CI/CD pipelines using GitLab CI/CD and Azure DevOps, implementing gated deployments, rollback mechanisms, and multi-environment promotion (DEV → QA → PROD), reducing deployment time by 40%.

· Configured CloudWatch, Application Insights, and Prometheus/Grafana dashboards for proactive monitoring and observability, improving incident detection by 25%.

• Developed and enhanced the BMW e-commerce and digital payments platform using the MERN stack, implementing REST APIs for product catalog, cart management, and checkout workflows.
• Engineered Node.js microservices for payment and order orchestration, supporting PCI-compliant transactions, refund handling, and asynchronous job processing with Kafka and SQS.
• Built responsive React.js frontend with Redux state management, modular components, and API integration for order history, cart updates, and real-time transaction tracking.
• Optimized backend query performance by 30% through MongoDB indexing, pagination, and caching strategies, reducing load on downstream services.
• Implemented JWT-based authentication, OAuth2, for secure enterprise-grade access control across customer and partner portals.
• Deployed containerized applications on AWS EC2 / EKS and AWS Lambda, enabling scalable and fault-tolerant deployments for 1K+ daily transactions.
• Automated testing pipelines using Postman CLI and Newman, increasing API reliability, and reducing post-release defects by 30%.

• Designed and developed intelligent chatbots for Telegram and Viber using Node.js (Express.js), automating customer interactions for a car components business, significantly increasing engagement and sales efficiency.
• Defined technical architecture, frameworks, and methodologies for over 70% of chatbot systems, ensuring scalability, fault tolerance, and maintainability across multi-channel environments.
• Developed RESTful APIs using Express.js, integrating backend data services and external APIs to enable real-time order tracking, product queries, and feedback management.
• Built interactive React.js dashboards for analytics and customer support teams, incorporating Redux for centralized state management and dynamic UI rendering.
• Integrated Elasticsearch and Kibana with Node.js applications, creating real-time dashboards and visual reports for chatbot usage trends, product demand, and sentiment analysis.
• Monitored and optimized Elasticsearch cluster performance using monitoring APIs and third-party tools, improving query response and system reliability.
• Designed MongoDB schemas and aggregation pipelines for efficient storage, retrieval, and reporting of customer and transaction data.
• Built containerized microservices using Docker, deployed on AWS ECS/EKS, leveraging AWS S3, AWS IAM, and AWS RDS for secure, scalable infrastructure.
• Automated CI/CD pipelines using Docker and Git triggers, improving release velocity, and reducing manual intervention.
• Improved backend performance by 40% through caching, optimized data models, and asynchronous I/O in Node.js services.