Avni Ghael

• Architected infrastructure for notification and workflow features, delivering scalable solutions that improved issue visibility and user adoption.
• Served as the solo DRI for the AI-driven enrollment anomaly detection project, architecting the system end-to-end, and collaborating closely with ML engineers to integrate AI-driven anomaly detection and implement a notification system, improving the early detection of workflow enrollment irregularities.
• Developed a complex action-filtering system with cross-team data synchronization, enabling granular workflow automation control, and lowering support overhead.
• Led the design and implementation of a platform enhancement enabling Actions support for Workflows Copilot, standardizing metadata for automatic discovery and configuration, eliminating manual coding, and accelerating feature rollout.
• Strengthened system reliability by optimizing high-traffic endpoints, cleaning up unused telemetry and reports, resolving on-call incidents and customer tickets, and improving background worker performance, resulting in faster response times, reduced system load, and improved platform stability.
• Mentored engineers on technical ownership, communication, and career development to support their growth into senior roles.
• Technologies used: Java, Kafka, MySQL, Elasticsearch, REST APIs, Prompt Engineering, Prometheus, Grafana, LogFetch, and Athena.

• Owned backend development and maintenance of high-volume logging system, implementing reliable data pipelines with event streaming technologies.
• Improved system stability by troubleshooting production issues during on-call rotations, and enhancing flaky automated tests, reducing deployment delays, and increasing test reliability.
• Collaborated across teams to gather requirements and coordinate project delivery, ensuring effective knowledge transfer.
• Delivered high-quality code through concise pull requests (PRs) and thorough code reviews, maintaining engineering standards and accelerating development velocity.
• Technologies used: Java, Kafka, MySQL, REST APIs, Docker, Jenkins, Prometheus, Grafana, LogFetch, and Athena.

Client: Facebook (Meta), (Contingent Worker)

• Revamped the infrastructure analytics platform to algorithmically detect infra-centric issues and perform root cause analysis, driving significant efficiency improvements in fleet utilization.
• Built scalable internal tools to streamline data center operations, improving planning, execution, and task workflows, which accelerated field productivity and reduced turnaround time.
• Contributed to the development of a parts and spares ordering system, implementing an intelligent cart and checkout flow, and automating shortage detection and fulfillment—reducing manual effort and order cycle time.
• Technologies used: ReactJS, Redux, Hooks, MySQL, GraphQL, and ent.

Internal Deloitte Projects

• Led the development of AI-powered chatbots and full-stack MVPs for sales and operations to automate routine queries, and demonstrate Deloitte’s technical capabilities to potential clients.
• Technologies used: Angular 8, Python, Flask, Google Cloud Platform, Dialogflow, D3.js.

• Developed new features for a cross-platform application, following Agile methodologies.
• Automated the build and deployment process of the web product, and developed automated tools for performance testing of the native product.
• Technologies Used: Backbone.js, JavaScript, ES6, jQuery Mobile, LESS, Docker.

• Rebuilt and enhanced the company’s brand dashboard, increasing the dashboard’s efficiency by 10%, and helping customers to track their website ranking more efficiently.
• Decreased load time speed by 15% after modularizing code and optimizing queries.
• Technologies used: PHP, MySQL.