A Security Operations & Automation Engineer with over 1 year of experience in Google Chronicle SIEM, detection engineering, and Python automation. Focused on intelligent automation and building data-driven security systems.
I'm a Security Operations & Automation professional with hands-on experience in monitoring and analyzing security alerts, handling incidents, fine-tuning detection rules, and improving SOC workflows through better documentation and automation.
Alongside my security role, I enjoy building automation solutions that reduce manual effort and make data easier to understand. I'm passionate about learning new technologies, simplifying complex problems, and building solutions that are both functional and user-friendly.
A Python script that extracts structured data from Outlook emails based on defined subjects and keywords, improving reporting efficiency and data accuracy by eliminating manual extraction processes.
This project is built using a Convolutional Neural Network (CNN) trained on the MNIST dataset. It also features a real-time drawing interface where users can draw a digit, and the trained model predicts it instantly.
Python-based Android Lock Screen Pattern Simulator that generates random valid patterns following Android's lock screen rules and allows users to set custom patterns.
I'm always interested in discussing new opportunities, collaborations, or just having a chat about technology and security. Feel free to reach out!