Software Developer in Paris, France

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

Work Done:
• Wrote ~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, Android for couriers and vendors).
• Implemented the interactions with third-party APIs (REST, and proprietary) exchanging JSON/XML payloads.

I designed and built a communications platform using Node.js that enables a client 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, input parameter schemas, output object schemas) using standard description grammars (WSDL, WADL, and more), authentication schemes, and providers.

In return, the system ensures the discovery, interoperation (with the appropriate sequencing of operations and marshaling of input/output parameters) across protocols and service styles; without the need to write 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).

Technologies: AWS Lex, Twilio, Node.js, Facebook SDK

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 employees of the client company 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 the back-end servers via the Twilio API, while the staff receives notifications through their devices via the AWS Simple Notification Service (plugged into Google Cloud Messaging, and AWS 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/HTTP to implement the OpenBanking 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 (AWS Lambda based, with Aurora storage).
• Implemented data-processing functions (emitting safety diagnostics based on the data read by the appliance).

This was an IoT project that deployed more than 600,000 appliances with gas and weight sensors to multiple homes reporting to a Backend server in order to detect various safety conditions.

Mobile applications (iOS and Android), as well as a web application, are used to interact with each appliance's data in order to view the diagnostics and predictions attached to it.