A production-focused learning management system built as independently deployable services. The platform uses Node.js, Django REST Framework, FastAPI, Kafka, PostgreSQL, Redis, Docker, and Kubernetes to support scalable backend workflows.

• Separated core services for cleaner deployment and maintenance.
• Added Kafka-based asynchronous communication for notifications and processing.
• Integrated Google Drive API automation and optimized PostgreSQL queries.

Python automation and machine learning workflows created during the BAM Berlin internship. The project focused on structural defect detection, data preprocessing, and repeatable analysis pipelines for laboratory datasets.

• Built scikit-learn classification workflows for defect detection.
• Reduced manual data preparation with automated ingestion and preprocessing.
• Prepared reusable scripts for research and analyst workflows.

A full-stack school website and content platform built with Django and PostgreSQL. The project supports public information, content management, and structured school communication through a maintainable backend.

• Implemented backend content workflows with Django.
• Used PostgreSQL for structured and reliable data storage.
• Delivered a public live website for school information and updates.

A full-stack browser utility for generating dynamic QR codes with server-side redirects, expiry dates, and vCard downloads. Each QR code stores a short server token instead of the raw destination, so scans can be validated and resolved at request time.

• Built single-link and multi-field vCard modes with downloadable PNG QR output.
• Implemented Flask routes for generation, redirect resolution, expiry handling, and .vcf streaming.
• Stored QR records in a JSON flat file using cryptographically random URL-safe IDs.
• Deployed as a Render Python web service with Gunicorn and a custom CNAME subdomain.