El Kharroubi K.

I led the full-stack development of web and mobile applications using Next.js, Supabase, Vercel, and Capacitor, unifying and streamlining the user experience across all platforms.

I designed intelligent workflows and structured prompts, focusing on cost control and latency optimization, thereby contributing to the reliability and robustness of our AI assistant, Rita.

I delivered features iteratively through automated CI/CD pipelines, including preview environments and quality gates like ESLint and unit tests, which improved our deployment process and reduced errors.

I worked closely with tradespeople to refine the product based on concrete field feedback, allowing us to better measure adoption and increase user satisfaction.

I contributed to helping tradespeople save time, reduce errors in their quotes, and increase their customer acceptance rates, directly improving their sales performance.

I developed and optimized scalable backend solutions in Python, Flask, and Pandas, which improved the performance of our ESG SaaS platform.

I managed database systems such as MongoDB, Redis, and InfluxDB, ensuring efficient and reliable data processing for our users.

I designed robust and user-friendly interfaces in JavaScript, focusing on Vue.js and TypeScript, contributing to a better experience for property owners.

I implemented an event-driven architecture with RabbitMQ and designed efficient APIs following Swagger/OpenAPI specifications, which facilitated integrations and strengthened functional consistency.

I used containerization and infrastructure as code via Docker, Terraform, and Ansible to establish smooth CI/CD workflows, enabling faster deployments and updates.

I placed great importance on code quality and maintainability through TDD/BDD methodologies, extensive unit tests, and regular code reviews, establishing a true culture of excellence within the team.

I fully evolved in a collaborative environment valuing innovation and continuous improvement, actively participating in technical decisions and mentoring team members to elevate their skills.

I contributed to R&D projects at the intersection of aeronautics and artificial intelligence, developing innovative tools for industrial processes.

I created prototypes and internal applications in Python and JavaScript, implementing data processing, simulation, and visualization techniques.