02 / experience
Work XP
My current focus is on combining AI with cybersecurity to build intelligent, adaptive defence systems capable of detecting and responding to threats autonomously — including research on automotive network security and real-time IDS deployment.
I approach learning by building. Every concept I study is backed by implementation, testing, and iteration. My goal is to engineer security systems that are not just functional, but reliable, scalable, and capable of handling modern attack surfaces.
OCT 2024 – PRESENT
Student Researcher — SOC
PESU ISFCR, PES University
- Writing and tuning IDS/IPS rules for Suricata and Zeek with AI/ML-driven adaptive threat detection
- Building SIEM-like systems with ELK dashboards, log ingestion pipelines, and automated alert workflows
- Developing RL-based IDS controllers with real-time monitoring dashboards
- Researching hybrid IDS efficiency metrics: detection rate, false positive rate, CPU usage, and latency across benchmark datasets
JAN 2026 – MAY 2026
Teaching Assistant — Computer Networks
PES University
- Conducted labs and evaluated assignments for the Computer Networks course
- Assisted students with networking concepts, packet flow analysis, and troubleshooting techniques
JUN 2025 – JUL 2025
Summer Intern
CISFCR — Center for Information Security, Forensics & Cyber Resilience
- Conducted research on network security and cyber threat intelligence
- Explored advanced IDS architectures and ML-driven integrations for threat detection
JAN 2024 – APR 2024
Junior Cybersecurity Engineer — Intern
Excerpt Technologies Private Limited
- Built automation scripts for threat detection and incident response workflows
- Performed endpoint security audits and data protection compliance checks
- Conducted web penetration testing on internal and client-facing applications