Paul Grigoruta

I built this website and developed customized features, including imports, an Apple Pay implementation, and several upgrades. We also optimized the code and infrastructure to support over 150 orders per minute.

I implemented new features in the SDK and provided client-facing support on GitHub and internal channels. I used test-driven development—providing full test coverage via unit, integration, and end-to-end tests—and implemented continuous integration and fully automated builds.

I customized Magento's Commerce B2B modules to support the business flows. I implemented checkout customizations, integrated an in-house CMS, and extended the Magento API to integrate with the custom front end.

I built and maintained WordPress features, implemented various Vue.js apps, and integrated them with WordPress via REST APIs. I worked on the auction system, reporting tools, CI development cycle, Google and Apply Pay integrations, and content editing flows.

I helped build the new platform for Cokestore.com on Magento 2. This included documentation, technical architecture, estimates, and business requirements gathering.

I implemented various features and design changes for the website and a custom application to manage the custom order flow that uses the Shopify API to pull/push data. I also implemented front-end-facing Shopify apps for purchasing flows that did not fit the Shopify model.

Implemented a RESTFul API on Node.js (Express) with MongoDB storage. The purpose of the API was to serve as a back end for a product/order reporting application.

• CRUD API endpoints
• Batch processing
• Fully covered by unit tests
• Near real-time sync with a MySQL database (Magento)
• Reasonably large data set (1+ million records)
• Mongoose
• Continuous integration

I extended Gravity Forms (a WordPress module) to allow Google Pay and Apple Pay payments via the default Authorize.Net integration. The integration supports both one-time and subscription-based payments.

I developed a Laravel-based management portal for an internet service provider.

VARIOUS INTEGRATIONS:
• Client management integrated with campaign monitor and postmark
• Stripe payments
• Various hardware integration to check the connectivity status
• Slack integrations for automated messaging
• Batch processing for email campaigns
• Zendesk integration for support
• Reporting on various metrics

I implemented a NetSuite connector for Magento.

PROJECT DETAILS:
• It can synchronize orders, invoices, products, stocks, shipments, and customers.
• It's queue-based so performance is not affected by NetSuite downtime.
• It's stable so any error will remain in the queue for manual review.
• It's fully customizable via admin settings or code.
• It's been implemented successfully for more than ten retailers.
• It's able to handle more than 10,000 orders per day.

I developed a tool that allows uploading a list of universal product codes and automatically calculates the profit margins for selling them through Amazon, with or without Amazon fulfillment. Technologies used include Laravel, AWS, Amazon MWS API, and Product Advertising API.

I helped a client with more than 5,000 orders per day to automate the fulfillment process.

PROJECT DETAILS:
• Implemented an Amazon MWS integration to pull orders, push order status changes back to Amazon, and sync up the stock.
• Developed a NetSuite integration to keep stocks and financial data up to date.
• Integrated a warehouse via an API to send orders for fulfillment orders.
• Automated the returns, cancellations, purchases, and all other flows to have the system work without manual intervention.
• Built the systems on Laravel.

I led the team that implemented the Braintree Magento extension.

PROJECT DETAILS:
• Created the documentation, flow diagrams, and specs for every feature.
• Developed automated tests.
• Ensured PCI compliance.
• Conducted security code reviews.

Used Open AI's GPT API to make the day-to-day work with the eCommerce back end easier, which included:

• expanding product descriptions based on the existing product data
• summarizing product data (i.e., for short descriptions, meta description, title)
• suggesting categories based on product data
• utilizing openCV to extract image features and add them as attributes to enhance layered navigation