-Led end-to-end development of a search solution using React SPFx and TypeScript, enabling rapid document retrieval for Microsoft's internal use cases (HR, Legal, employees), resulting in enhanced productivity and efficiency.-Spearheaded the creation of various design documents, capturing end-to-end flow from requirements gathering to proposing architecture and thorough documentation. This ensured clear communication and understanding across teams.-Built an API with .NET Core to deliver JSON configuration, making the search solution reusable across diverse teams and scenarios within the organization, streamlining the search experience.-Enforced engineering best practices, including comprehensive unit tests for both backend and UI components, secure integration, and a robust CI/CD pipeline using YAML, ensuring code quality and facilitating frequent releases.-Developed an entire website with React and TypeScript and an API with .NET Core, allowing external users to apply for grants through a dynamic generated form. The platform also features a chat with Microsoft grants approvers, document upload functionality, and application tracking. The result was an increase in grants applications and a more robust review process.

-Spearheaded the development of robust backend services to automate the processing of employees' data using .NET Core in a distributed system with Service Fabric, Azure Service Bus, Cosmos DB, and Microsoft CRM.-These services efficiently processed data and automated the creation of visa cases for Microsoft candidates in the CRM instance, resulting in substantial time savings by eliminating 10,000 manual hours per year and ensuring up-to-date data for streamlined processes which reduced our support tickets by 50%-Pioneered the implementation of an event-based architecture, achieving remarkable scalability and high performance, capable of seamlessly processing large volumes of data (1,000,000 messages per day). This architecture played a pivotal role in delivering efficient and reliable data processing capabilities for the organization.

-Created a machine learning model with Python and Sklearn, that determines if a ticket needs to be created from an email with an accuracy of 95%, saving 720 hours annually of manual work to the agents.-Created CI/CD pipeline on Azure DevOps that automatically trains, validates, and deploys the machine learning model to Azure Functions, increasing the deployment speed by 80%.

-Developed a new autocomplete feature on top of an existing internal search engine with Java and Lucene, allowing internal traders to quickly find correct assets.-Refactored an existing code to remove tens of critical bugs and improved code performance by reducing memory usage by 400%.

-Developed a hybrid mobile app with Angular 2 for city agents, increasing productivity and reducing paperwork.-Created a web page that allows citizens from Montreal to get an animal permit online.-Participated in sprints planning and architecture design process to convert business needs into tasks.-Implemented backend endpoints with Nodejs, ensuring the compliance of the user's data entry.

I created an android clothing store application for a client. The mobile application allowed customers to see products and to review them.