Milad Khalafi

Led a software development team, driving technical direction, architecture, code quality, delivery, and engineering best practices across multiple projects.

Integrated AI-assisted development into the engineering workflow, using modern AI tools such as Cursor to accelerate implementation, code review, debugging, refactoring, and documentation.

Adopted Specification-Driven Development (SDD) practices to improve requirements clarity, technical planning, implementation consistency, and collaboration between team members and AI-assisted development workflows.

Designed and implemented scalable software architectures and led the full software development lifecycle, from technical specifications and system design through development, testing, deployment, and maintenance.

Established effective AI-assisted coding standards and development workflows, helping the team improve productivity while maintaining maintainability, security, and code quality.

Mentored developers on modern software engineering practices, AI-assisted development, system design, clean architecture, testing, and effective use of AI coding tools.

Developed full-stack solutions utilizing Go (Golang) and Vue.js.

Implemented automated energy billing modules to calculate consumption costs for submetered units.

Integrated IoT sensor data pipelines for real-time tracking of electricity, water, and gas usage.

Optimized data collection from smart meters to ensure accurate and timely billing generation.

Collaborated with a distributed team to enhance energy management systems.

Collaborated in the development and implementation of DevOps strategies, employing Git for version control, Docker for containerization, and automation to optimize deployment workflows.

Utilized Google Cloud and DigitalOcean for infrastructure management, ensuring scalable and efficient deployment environments.

Leveraged Python programming to create efficient scripts, enhancing system reliability and automating routine tasks.

Played a pivotal role in utilizing PostgreSQL databases, ensuring data integrity and optimizing performance for scalable applications.

Proficient in Grafana for drawing insightful charts and visualizations, providing key data-driven insights for decision-making processes.

Contributed to Full Stack Development projects using Django, showcasing expertise in both front-end and back-end development.

Developed a simple RESTful API in Go lang for a task management application, enabling users to create, update, and delete tasks with ease. Utilized Terraform to automate the provisioning of cloud resources for the application, ensuring consistent and reproducible deployments.

Implemented a basic e-commerce website frontend using Vue.js, integrating with a mock backend to display product listings and enable user authentication. Used Terraform to manage the infrastructure for hosting the website, deploying it on AWS EC2 instances.

Set up a local Kubernetes cluster for testing and development purposes, deploying containerized microservices such as a sample blog application and a chatbot. Leveraged Terraform to define and manage the cluster's infrastructure, enabling easy replication of the environment in production.

Modifying HTML, JavaScript, and to optimize the page's performance for faster loading and browsing

Developing a virtual makeup component that runs inside a browser (Tensorflow Js)

Redesigning server structure for high availability in high traffic

Segmenting customers by RFM(recency, frequency, monetary) analysis

Creating SEO performance report by Crawling website pages

Creating BI dashboard for important sales reports

Segmenting customers by RFM(recency, frequency, monetary) analysis

Developing Marketing automation for sending different discount vouchers amount by sms base on customer segmentation(RFM Analysis)

Communicating with russian developer team and translating documents for them

Developing an algorithm to detect customers who are abusing discount system

Collecting and analyzing data on established and prospective customers and competitors

Utilizing Google Tag Manager and implementing new scripts for marketing campaigns

Browser Fingerprinting (information collected specifically by interaction with the web browser of the device)

Persistent Cookies (follow the user as they visit other websites)