At AUFTEK, I develop APIs for the company CRM, IoT device management, and water microbiology analysis systems, including sample registration and laboratory report management.
I implement microservices with Java and Spring Boot, using Keycloak for identity and authorization and RabbitMQ for asynchronous communication. I also developed AUFTEK’s institutional site with Next.js and MongoDB, including a permissions-controlled blog and OpenAI and Gemini integrations for content generation and social publishing automation.
I developed a FastAPI and ReactJS web application for visually creating and managing machine-learning pipelines, with automated API tests using Pytest. I also use Kubernetes on AWS for daily ETL processes between MongoDB and Amazon S3, and Docker to containerize applications for development and deployment.
For my capstone project, I developed a security scanner for Linux .deb packages, using Rust to extract and analyze ELF files and combining signature-based detection with machine learning. I also implemented a Python environment to train and evaluate the threat-classification model.
