Karim Sassi

Development and maintenance of enterprise-grade web, mobile, and smart IoT retail systems.

Spearheaded the technical implementation and systems architecture of smart station and retail IoT solutions across Mali and other African countries, leading cross-border deployments as a remote Technical Lead. Architected and engineered scalable, cloud-integrated architectures utilizing Node.js, JavaScript, and PostgreSQL, processing high-throughput telemetry and IoT sensor data with robust error-handling pipelines. Oversaw the remote deployment of IoT sensor systems for real-time environmental monitoring and hazard prevention at Motocop and TotalEnergies in Tunis, enabling automated gas leak detection and pollution alerts. Designed and built highly responsive, data-rich real-time monitoring dashboards using Tailwind CSS and frontend JavaScript, improving cross-border operations visibility and decision-making efficiency. Engineered and maintained full-stack enterprise applications utilizing PHP, Node.js, and RESTful APIs, optimizing query performance and system uptime. Developed and optimized native Android POS applications integrated with payment terminals (Nexgo) and high-performance WebView components. Deployed and configured cloud infrastructure on secure production environments (AlwaysData), managing database servers, pipelines, and CI/CD deployment routines. Collaborated in an agile team environment, delivering new features and resolving production bottlenecks across the entire software development lifecycle.

Implementation of a cloud solution (back and front office) for milk collection and analysis with the integration of IoT sensors.

Designed and implemented user-friendly web application interfaces for client and administrative users. Assembled and configured hardware systems and physical sensor arrays to reliably capture milk quality metrics. Built secure, low-latency cloud connections and APIs to transmit real-time telemetry data to the back-office management system.

Built real-time monitoring solutions for natural environmental indicators (humidity, temperature) and active service station indicators (gas leaks, atmospheric pollution). Assembled and engineered hardware sensor circuits and physical breadboards to prototype the environmental data collection systems. Operated and integrated automated alert frameworks to instantly notify employees and managers of potential safety hazards or environmental dangers.