Software Developer in Paris, France

I architected and coded the entire system (mobile application and back-end microservices) for a food-delivery and courier-tracking application.

Work Done:
• Wrote around 12 microservices, using Node.js and C#: order fulfillment, vendor communications, and delivery routing.
• Built two relational databases (MySQL) and a NoSQL one (DynamoDB).
• Developed four mobile applications (iOS and Android for consumers and Android for couriers and vendors).
• Implemented the interactions with third-party APIs (REST and proprietary) exchanging JSON and XML payloads.

I designed and built a communications platform using Node.js that enables clients to reach out to their customers by email, browser-push notifications, SMS, or voice calls.

The project was hosted in the AWS cloud and used Twilio to make voice calls and send SMS.

An exciting aspect of the project is the innovative use of SNS, SQS, and Lambda to achieve massive scalability while keeping costs under control.

I designed and built a system, enabling different service owners to provide a formal description of their service (name, list of endpoints and operations, and input parameter and output object schemas), using standard description grammars (WSDL, WADL, and more), authentication schemes, and providers.

In return, the system ensures the discovery and interoperation (with the appropriate sequencing of operations and marshaling of input/output parameters) across protocols and service styles without writing a single line of code.

I designed and built an SMS-based platform on .NET. It enables a client to receive, and process text messages on short-codes, and react to them by performing database queries and responding with text messages localized to the specific region of the original sender.

The entire project was hosted in the AWS Cloud and made extensive use of Lambda, S3, SNS, DynamoDB, Pinpoint, RDS (PostgreSQL), and CloudWatch.

Using TensorFlow, I wrote code that runs a model to examine past offerings, contrasts them with customer engagements (purchases, cancellations, and more), and periods to determine the optimal (leading to the most purchases and least cancellations) product offering on a future date. The resulting code produces an accurate result for dates up to two weeks in the future using a few months of training data.

I designed and built a bot to handle customer requests and perform back-end server actions (retrieve and move user-profiles and videos) in a Healthcare support application.

Technologies: Amazon Lex, Twilio API, Node.js, Facebook SDK, and Go.

Utilizing a C++ written native layer that intercepts socket-level events, I designed and built a cross-platform component. The component computes statistics on network performance (errors, port utilization, data rates, and more), buffers them, correlates them to method calls within the code of a currently running a .NET or Java application. It then sends the augmented-stack traces to a remote collection server using an optimized binary transfer protocol.

This is an enterprise mobile-phone application that was distributed to thousands of staff and customers. The aim was to allow the client-company employees to receive assignments on the road, report on their activities, and keep the customers informed on the-state-of-the-jobs they are paying for.

I designed the architecture and led the development team behind this application.

Customers are kept up-to-date via an SMS sent from back-end servers via the Twilio API. Concurrently, the staff receives notifications through their devices on the Amazon Simple Notification Service (plugged into Google Cloud Messaging and Amazon SQS for fanning out to the appropriate collaborating staff).

I developed billing/time management software for employees of a legal firm, some of whom may need accessibility features.

The application was written in C++ (using C++ Builder) for Windows XP and used the Microsoft Active Accessibility API to enable specific features:
• Support the high contrast mode.
• Make all of the functionality of the application keyboard (not only mouse) accessible.
• Provide an on-screen keyboard.
• Enable scaling of all screens, controls, and fonts in the UI appropriately with user preferences.

This project revolves around a Node.js API service that communicates with banking institutions using REST and HTTP to implement the Open Banking 3.1.4 specification. I stored information in a PostgreSQL database.

The entire system consists of two component services. The service I was in charge of exposed its contract via Swagger, made optimal use of dependency injections to facilitate unit testing (mocking its storage, authentication service, third-party APIs, and more). Deployment was done through Docker images.

Tasks Accomplished:
• Composed the appliance code: reads sensors and periodically reports on their values.
• Built the back-end API using AWS Lambda with Aurora storage.
• Implemented data-processing functions, emitting safety diagnostics based on the data read by the appliance.

This IoT project deployed more than 600,000 appliances with gas and weight sensors to multiple homes, reporting to a back-end server to detect various safety conditions.

Mobile applications (iOS and Android) and web applications are used to interact with each appliance's data to view the diagnostics and predictions attached to it.

I was one of the back-end developers for a .NET Core-based content-management system that created and maintained data pipelines between eCommerce websites and the cloud storage of product information and metadata.