Amir Chaari

Developed a web application for plant disease detection with the implementation of a model (Roboflow, YOLOv8) and integration of agronomic recommendations. Built a DevSecOps pipeline with Jenkins: dependency audits (npm audit, Gitleaks, Snyk), static analysis (SonarQube), Docker image scanning (Trivy), automated testing, CI/CD to AKS Deployed infrastructure on Azure Kubernetes with Terraform and monitored using Prometheus and Grafana

Developed the back-end of a real estate booking site using NestJS Integrated Airbnb and Booking.com APIs for automatic calendar synchronization

-Develop an e-commerce fraud detection application using a combination of rules and ML models to generate a risk score for each transaction and provide real-time alerts in case of fraud. -Integrate an investigation process for each transaction, allowing fraud analysts to analyze details such as IP address, phone number, and email. -Continuously enhance the AI model through a feedback

• Engineered an end-to-end Intelligent Document Processing (IDP) pipeline using UiPath Document Understanding to automatically extract and parse unstructured PDF invoice metadata. • Programmed automated data cleaning and validation logic using custom Regex to handle multi-layout document anomalies and eliminate data entries inconsistencies. • Designed a centralized data reporting pipeline that transforms raw extracted tables into automated Excel spend analytics dashboards for account managers.