👋 About Me
Hi, I'm Manas — a Security Engineer specializing in Threat Detection and Response, adversarial research, and security automation. I design and build scalable detection pipelines that combine telemetry, analytics, and automation to deliver precise, high-fidelity detections.
My work centers on developing detections, building resilient detection architectures, integrating AI into security workflows, and engineering automations that reduce mean time to respond and eliminate manual investigation overhead. I've led initiatives to build KQL-based detection frameworks, create AI-assisted alert analysis and remediation flows, and drive Purple Team exercises to enhance coverage and detection accuracy.
I'm deeply passionate about transforming detection engineering into a data-driven, automated, and adaptive discipline, where security systems not only detect threats — but continuously learn and evolve from them.
🎓 Education
University of California, Berkeley
Master of Information and Cybersecurity (MICS)
GPA: 4.0Key Coursework:
Shiv Nadar University
Bachelors in Electronics and Communication Engineering
GPA: 3.2Key Areas:
🛠️ Skills
Programming
Platforms
Languages
🧑🏻💻 Experience
GitHub
May 2024 – Present- Built a Kusto detection pipeline for Azure Data Explorer.
- Led OKRs for detection building and sprint execution.
- AI-driven automations for remediation and detection-as-code generation.
- Purple Team activities and regular threat hunting.
- Splunk dashboards for data health and resource monitoring.
First Quality Enterprises
Apr 2021 – May 2024- Owner of Incident Response Plan & SOC processes.
- Led escalations, automation, rule tuning, and Purple Team efforts.
- Revamped SOC metrics dashboards and reporting.
- Investigated and remediated security incidents across various platforms.
- SOAR playbooks & scripts with up to 95% time reduction for select use cases.
- EDR scripting, proactive hunting, and ATT&CK mapping.
- SIEM migration from QRadar to Microsoft Sentinel.
M&T Bank
Mar 2020 – Apr 2021- Investigated incidents across QRadar, Exabeam, and Symantec DLP.
- Automations for compromised credential workflows (≈90% faster).
- Phishing classification and network block automations.
PNB Housing Finance
May 2018 – Dec 2019- Built the Security Operations Centre; deployed DLP & full disk encryption.
- Managed AIP, Cisco ASA, SEP; coordinated external audits.
- PowerShell/Python automations for operational efficiency.
🔧 Highlighted Projects
Kusto Detection Pipeline
Designed and implemented a KQL-based detection framework using the Kusto Python SDK to run and monitor detections directly against data on Azure Kusto Clusters
AI x SecOps
Integrated GitHub Copilot and Tines for alert summarization, enrichment, and detection-as-code generation.
MITRE ATT&CK Alignment
Mapped rules to ATT&CK, ran adversary simulations, and Purple Team exercises based on MITRE tactics and techniques
LinkedIn