Zuber Khan

Scaled the giveaway coupon module from 10K to 100K coupons by optimizing DB access patterns and leveraging Azure Functions with multi-document bulk upserts, boosting client throughput by 10x.

Reduced batter-up-time errors by 99.9% during live segment refreshes through migration from Rockset async queries to Kafka consumers, utilizing Azure Functions & Queues for enhanced reliability.

Engineered a multi-BU communication architecture supporting diverse brands and channels (WhatsApp, SMS), enabling precise store-level targeting and elevating campaign engagement by 30%.

Delivered comprehensive end-to-end WhatsApp integrations with multiple providers (Yellow.ai, Twilio), processing millions of messages monthly, including support for carousel messages, quick replies, and dynamic URLs.

Developed real-time survey analytics using Chart.js and designed an asynchronous export pipeline (Azure Functions, Databricks, Blob) to facilitate bulk survey response downloads without impacting application performance.

Revamped the e-receipt builder and Vue.js rendering service for multi-region scalability and compliance, doubling client adoption through dynamic store-level generation.

Integrated WhatsApp support into Swan's Loyalty APIs for OTP and transactional messaging, enabling scalable multi-channel communication, reducing communication costs by 25%, and capturing delivery status via webhooks.

Spearheaded Swan AI migration from JavaScript to TypeScript, implementing clean architecture and SOLID principles for a scalable class-based design, reducing development bugs by 35% and improving maintainability.

Developed a recurring mechanism in Journey Builder using Azure Functions and Queues to automate journey re-runs (daily/weekly/monthly/custom), reducing manual intervention and boosting client satisfaction by 25%.

Engineered the Swan AI Magento plugin from scratch using PHP, Magento 2, RabbitMQ, and MySQL, enabling seamless real-time data synchronization for clients like Binsina Pharmacy.

Designed a scalable, high-throughput data upload module for customer, product, and store data, leveraging Azure Blob Storage and CosmosDB for efficient CSV-based ingestion with built-in validation and error-handling.

Implemented over 60 REST APIs with comprehensive Swagger UI documentation, improving testing efficiency and frontend integration by 30%.

Optimized API response time by 70%, reducing latency from 3 seconds to 900 milliseconds, by utilizing MongoDB aggregation pipelines and strategic indexing.

Integrated the Stripe payment gateway with webhooks, reliably processing over 10K monthly transactions with 99.9% uptime and data integrity.

Developed 5+ scalable backend projects utilizing Node.js and MongoDB, implementing MVC architecture and custom middlewares for robust application design.

Integrated secure AWS S3 cloud storage for efficient asset management and implemented Multer-based file upload processing, ensuring data integrity and accessibility.