"I enjoy breaking things to make them better. Now, I'm teaching machines how to build things that won't break."
I am a Quality Assurance Engineer and Automation enthusiast with a deep passion for building secure, reliable, and high-performance software. Currently, I am pivoting my expertise in Application Security and Automated Testing toward the world of Artificial Intelligence and Machine Learning, with a strong emphasis on Data Analytics and Visualization.
My goal is to bridge the gap between rigorous software quality standards and the evolving landscape of ML models—ensuring that the "brains" we build are as robust and secure as the code that runs them.
- Current Focus: Integrating ML models into security workflows, fraud detection, and creating advanced data insights using Power BI and Tableau.
- Environment: Powering through tasks on Linux Mint (Cinnamon).
- AppSec: Deep-diving into vulnerability research and performance optimization.
- Writing: I document my journey and technical findings over at yogku.wordpress.com.
I'm currently applying my "break-to-improve" mindset to the following areas:
- Data Visualization: Designing interactive dashboards in Power BI and Tableau to transform complex ML data into actionable business insights.
- FraudNix: An AI-powered fraud detection simulator using live-trained models to identify anomalous patterns.
- Security Intelligence: Automating vulnerability scanning using predictive analysis.
- Model Reliability: Implementing QA methodologies to validate data integrity and model drift.
| Category | Proficiency |
|---|---|
| Data Visualization | Power BI, Tableau |
| AI/ML | Python, Pandas, NumPy, Scikit-learn, TensorFlow |
| Automation | Selenium, Playwright, PyTest, Robot Framework |
| Security | OWASP Top 10, Burp Suite, API Security, Performance Testing |
| Development | JavaScript (Node.js), SQL, Shell Scripting |
| OS & Tools | Linux Mint, Docker, Git |
When I'm not in the terminal or training models, I focus on:
- Learning: Staying updated on the latest in AppSec, Neural Networks, and Data Storytelling.
- Open Source: Contributing to the Linux community and experimenting with shell automation.