Karnam Sathvik

I'm a B.Tech Computer Science student building security-focused software, detection tooling, and data pipelines for practical security workflows.

At KognitiveIoT Solutions, I analyzed IoT behavioral and authentication data to support AI-based anomaly-detection models. I investigated attack patterns and translated findings into data-driven recommendations adopted by the R&D team.

I built Phosphor, a full-stack SOC alert-triage console with detection rules mapped to MITRE ATT&CK, severity classification, audit history, and live queue metrics. I also created a Chrome extension that flags potentially fake LinkedIn job postings through domain verification and text-based risk scoring.

My project work includes honeypot attack-data analysis, zero-trust access-control modeling, and encrypted chat performance analysis using Python. I work across Python, React, Node.js, PostgreSQL, Docker, log analysis, and security data assessment.