Zuber Baig

An API for managing patient data using HL7/FHIR standards. The API takes input from any smart device, doctor or hospital application, and/or any source system that records patients' medical data. This patient data is then synced with all other systems where patient records exist, thereby keeping all patient records up to date at all times in all systems.

I analyzed the requirements, developed estimates, created RAML specifications and MuleSoft flows, performed testing, and managed deployments. I also worked on the endpoint for accepting patient data and updated two other medical applications where patient data resides.

The architecture consists of experience, process, and, later, the system API. This involved authenticating the API at each layer, validating and transforming patient data for target systems connected from the system layer, error handling, and success and failure message flows from each layer. The project was a great success and we received positive feedback and appreciation from the client.

APIs for an airline booking system to integrate the airline client application with Amadeus airline passenger service. I developed endpoints for creating and canceling passenger bookings. Booking involves a complex structure with many substructures, such as passenger details, destinations, stopovers, pricing, meal preferences, additional passengers, and discounts.

I also played a key role in improving the performance of the APIs to achieve the transactions per seconds requirement. This involved flow redesign, DataWeave optimization, and tuning of processing strategies. Finally, I was part of the go-live support team when then APIs went live and replaced the existing system. I performed proactive monitoring of the APIs, using CloudHub monitoring during the support period; analyzed logs; and did hotfixes.

An API in MuleSoft for an eCommerce B2B and B2C integration platform, enabling CRUD operations for all items sold on the eCommerce site and multiple warehouse stock updates. I designed and developed this API, using webhooks and multiple third-party connection endpoints, such as Shopify, Momentum, Connect Logistics, and Mentor Media. Because multiple source and target systems were involved, I created a dynamic DataWeave and message processing architecture to support multiple shopping channels and warehouses.

A full-stack web application to display item delivery status for internal admin use at a very large shopping mall. I developed the front end using HTML, JavaScript, and jQuery, and the back end as a RESTful service in Java. The service used SQL Server and Mongo DB as data sources.

One of the key requirements of this application was to group information based on several factors, such as route information, location, and item images. The application also used data tables for paging and sorting. I managed the day-to-day coordination with the business team for requirements, design, estimation, development, and deployment of the application.