Zuber Khan

Led full-stack development and optimization of e-commerce and marketing technology solutions, focusing on API integration, performance, and client satisfaction.

• Developed the Swan AI Magento plugin from scratch, enabling seamless integration for e-commerce clients like Binsina Pharmacy and managing customer flow, transactions, and coupon management.
• Spearheaded development of new Swan AI Promotion Engine APIs (CRUD, Budget Refreshes, Admin Approval, Group APIs), optimizing for enhanced data retrieval and high-volume request handling.
• Eliminated 100% of batter-up-time errors in Swan AI Segments by migrating async queries to Kafka consumers in a microservices system using Azure Functions & Queues, ensuring real-time data processing.
• Boosted store sales by 18% through implementing MyAster campaign bonus points via Transaction Redemption API and designing a CosmosDB stored procedure for atomic point processing.
• Implemented WhatsApp carousel and CTA buttons in Swan AI's Channel template builder, increasing marketing campaign effectiveness by 30%.
• Improved client request resolution time by 50% by integrating Userback in Swan AI, streamlining feature requests, feedback, and bug reporting to enhance overall client satisfaction.

Drove product development initiatives for marketing automation platforms, focusing on code quality, efficiency, and client satisfaction.

• Directed the migration of Swan AI from JavaScript to TypeScript, adhering to clean architecture principles and reducing development bugs by 45%.
• Developed the recurring feature in Journey Builder, automating campaign management and increasing client satisfaction by 10%.
• Performed rigorous code reviews, enhancing code quality and reducing development bugs by 60% while upholding clean architecture standards.
• Instituted comprehensive coding guidelines, significantly boosting team efficiency and improving Swan backend maintainability and delivery timelines.

Developed and optimized robust APIs and database solutions, significantly improving system performance and developer adoption.

• Implemented over 60 REST APIs with Swagger UI documentation, boosting API testing efficiency and frontend developer adoption by 30%.
• Reduced API response time by 70% (from 3 seconds to 900 milliseconds) by optimizing MongoDB aggregation pipelines and implementing effective database indexing, improving query efficiency by 50%.
• Integrated Stripe gateway with webhook, decreasing payment failures by 15% and facilitating over 1,500 transactions monthly.

Contributed to the development of robust backend systems and REST APIs, ensuring efficient and scalable solutions.

• Developed and optimized 5+ backend systems and 35+ REST APIs using Node.js, Express, and MongoDB, delivering efficient and scalable solutions.
• Managed codebases and facilitated seamless deployment workflows by proficiently utilizing Git version control and AWS S3 cloud storage.

Personal Full Stack Project: A freelance service platform built with Node.js, TypeScript, MongoDB, Stripe, Swagger, Emailer, Axios, React.js, React Router, and React Query.

Full Stack Project for Loyalytics AI, involving PHP, Magento 2, RabbitMQ, REST APIs, MySQL, Composer, Guzzle, and Stripe.

Recognized for outstanding achievement in the Google Cloud Ready Facilitator Program and as a Google Cloud Scholar in the Career Readiness Program.