Designed and delivered scalable backend microservices using Python and FastAPI, containerized services with Docker, orchestrated deployments on Kubernetes, integrated RabbitMQ-based event-driven pipelines, designed cloud-native solutions on AWS, and improved code coverage from approximately 45% to over 80%.

Built a backend middleware platform using Python and Django, designed serverless microservices on GCP, automated cloud infrastructure provisioning with Terraform and GitHub Actions, established REST API standards, and conducted technical documentation and architecture reviews.

Served as the sole backend engineer for a mobile application REST API using AdonisJS and PostgreSQL, containerized the application with Docker for DigitalOcean, and managed source control and deployment workflows using Git and GitLab.

Developed anti-fraud system backends using Node.js and TypeScript, architected serverless AWS solutions, managed infrastructure with AWS CloudFormation, built Python-based image processing pipelines, and served as DevOps focal point for production environments.

Developed features for an internal communication platform using Node.js, TypeScript, and Angular, built serverless AWS solutions, and automated cloud provisioning with AWS CloudFormation.

Conducted research in Machine Learning and NLP for recruitment automation and built data analysis workflows using Python, Pandas, Scikit-Learn, and NLTK.

Automated smartphone regression testing using Python and Pytest within a Docker/Jenkins CI pipeline and contributed to software quality assurance processes.