South Commercial Cleaning provides cleaning services for homeowners, whole companies, offices, and post-construction sites. I was responsible for building and integrating all the technical systems required to manage, control, and optimize administrative processes, operations, and customer communication.

• • Frontend: Developed user-facing applications using Angular and React to support internal operations and customer service interactions.
• • Backend: Designed and developed modular microservices using Python for data-intensive tasks, and Rust and Go for high-performance, low-latency services. Built the entire system following a scalable microservices architecture.
• • Infrastructure: Build a hybrid infrastructure using both Kubernetes on company-owned servers and AWS cloud services. Used AWS S3 for storage, ECR for image repositories, and ECS to host lightweight container versions in test environments. Integrated Cloudflare for DNS management, networking, and security layers.
• • AI: Developed a machine learning model using PyTorch and Scikit-Learn to provide customers with instant price estimates based on input parameters, removing the need for phone calls or manual quotes.
• • Data: Used PostgreSQL for core data storage and Redis for fast-access caching. Integrated Kafka for real-time data streaming across microservices.