About
Security Researcher with 3 years of experience in network traffic analysis, IPS signature development. Skilled in threat analysis & detection, false positive reduction and process automation. Passionate about cybersecurity to enhance detection fidelity, reduce vulnerabilities, and strengthen system resilience. Aiming for an innovative learning curve, challenging and responsible career.
Skills & Expertise (51)
Work Experience
Security Researcher & Developer
Trellix
Jan 2023 - Present
Researched, Developed and maintained high-fidelity IPS signatures based on vulnerability intelligence, significantly enhancing threat detection and reducing false positives in live deployments through meticulous analysis and tuning. Contributed to a 10% reduction in critical vulnerability exposure by proactively developing signatures for emerging threats. Addressed customer escalations by providing exploit coverage and resolving FP reports, improving trust and reliability. Analyzed and addressed alert fatigue by identifying recurring noise patterns and added strict regex detection checks, unique pattern checks, time-based suppression mechanisms, and revalidated the older signatures based on memory, EOL to be intact with today’s world, resulting in a 25% reduction in daily alert volume, allowing the security team to focus on critical incidents. Provided malware domain based detection coverage for customer specific format in snort rules weekly. Took ownership in creating new feature based threat intelligence sysevent signatures for malicious ioc hashes and URL/Domain based detection from IOC Threat Feed by collaborating with sensor and QA teams. Managed 80% infrastructure for my team with efficient expertise in creating, troubleshooting & handling VMs in ESX. Automated build scripts by identifying key manual repetitive tasks, leading to a quantifiable time saving of 20% for the team. Monitored and analyzed security blogs, research papers to stay up to date with the latest threats and vulnerabilities.
Python ML/AI Intern
Elite Techno Groups- SkillIndia
Aug 2021 - Sep 2021
Developed projects using python, ML, ensuring secure coding practices, clean data flow and modular architecture. Breast Cancer Detection, House Price Prediction using ML, Emotion Prediction through EEG. Build Face Recognition application using Python.
Education
Bachelors of Engineering in Computer Science and Engineering - Vellore Institute of Technology (VIT)
2019 - 2023 · India
Board of Intermediate - MPC - Ascent Junior College
2017 - 2019 · India
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