Security-focused Cloud Engineer passionate about building secure infrastructure and automating defense mechanisms.
🔭 Currently: Cyber Automation Engineer at NDIT
🎯 Interest:
- 🔐 Hardening cloud environments through Infrastructure-as-Code
- ⚡ Streamlining SOC operations with intelligent automation
- 🛠️ Bridging security gaps in CI/CD pipelines
University of Maryland College Park
2022 - 2024
📜 M.Eng Cybersecurity
Specialization: Cloud Security & Data Science
SRM Institute of Science and Technology
2018 - 2022
📜 B.Tech Computer Science
Focus: Cloud Computing
Jan 2025 - Present
✅ Developed playbooks for use cases such as identifying mising logs, deduplication of Service Now tickets and other use cases
✅ Troubleshot sub playbooks and tested them using testing playbooks in palo Alto Cortex XSIAM
✅ Collaborated with stakeholders to ensure that requirements of usescases are met without any delays
Aug 2024 - Jan 2025
✅ Resolved Linux security tickets via firewall/AppArmor configurations
✅ Conducted NIST 800-61 aligned tabletop exercises for IR refinement
✅ Optimized Azure Sentinel KQL queries for 40% faster log analysis
May 2024 - Jul 2024
🔧 Built Python API wrappers aggregating 5k+ assets from Wiz/Tenable
🛡️ Enhanced QRadar detection rules reducing MTTR by 25%
🔐 Implemented secure coding practices in Azure Git repos by ensuring proper access, tests to check for API leaks and password leaks
Oct 2021 - Jan 2022
☁️ Reduced cloud costs 15% through Terraform module optimization
🚨 Improved alert response time 20% via AWS/Azure monitoring analysis
⚙️ Automated infra deployment using CI/CD pieplines and Terraform saving 30+ hours/month with Azure DevOps
EFFICIENT DETECTION OF PHISHING HYPERLINKS USING MACHINE LEARNING Intrusion Detection Using Feed-Forward Neural Network
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