Mehdi Chikhi

• Led and mentored a backend team of 5 engineers — set coding standards, ran design reviews, reviewed PRs, and drove sprint delivery. • Built the LLM-powered AI agents at the core of the product: autonomous agents that handle customer interactions over phone and text — understanding requests, responding in real time, and completing tasks end-to-end. • Designed “super-agents” that reason over a business’s full context — messages, call transcripts, tasks, and notes — acting as an operational assistant that surfaces the right information and takes action on the user’s behalf. • Architected the backend behind these agents (scheduling, task and note automation), shipping Flask, Node.js, and Spring Boot APIs and microservices end-to-end. • Designed and implemented end-to-end payment processing with Stripe, handling secure transactions and billing flows. • Built and shipped the mobile apps — native iOS in SwiftUI and cross-platform in Flutter (MVVM, BLoC, go_router) — following clean architecture and SOLID principles. • Built the web application in Angular 20+, implementing a client-side caching layer and modular routing to speed up load times and streamline navigation. • Owned DevOps and cloud infrastructure: containerized services with Docker and Kubernetes, automated CI/CD, provisioned environments as code with Terraform, and set up monitoring and alerting to improve reliability and control cost. • Administered production PostgreSQL and MySQL databases: schema design, migrations, performance tuning, backups and disaster recovery, and access controls.

Lead Backend Engineer: Built and operated an AI assistant for healthcare that automates patient communications (calls/SMS), scheduling, and task management. Led and mentored a backend team of 6 engineers; set coding standards, reviewed PRs, and drove sprint delivery. Designed and shipped Flask-based APIs and microservices in Python, owning features end-to-end from design to production. Built the core AI assistant workflows for healthcare: handled inbound calls and messages, scheduled AI-driven calls, and automated task/note creation. Owned DevOps and cloud infrastructure: containerized services, automated CI/CD, provisioned environments as code, and implemented monitoring/alerting to ensure reliability and cost efficiency. Administered the production database (e.g., PostgreSQL/MySQL): schema design, migrations, performance tuning, backups/DR, and access controls/security.