Security researcher and engineer passionate about building AI-powered security detection, investigation, and response systems.
I focus on operationalizing security data lakes, UEBA, and multi-cloud analytics, blending detection engineering, AI, and security research to help defenders move faster and smarter.

🔹 Security Researcher & Detection Engineer
🔹 Cloud Security Specialist
🔹 AI for Security Innovator

• ☁️ Cloud Security: Microsoft Sentinel, Defender XDR, AWS, GCP, Okta
• 📊 Data Analytics: KQL, Spark, Pandas , Python, R
• 🤖 AI/LLM: RAG, GraphRAG, Qdrant, Streamlit, LiteLLM, Local LLM Ops
• 🔍 Detection Engineering: MITRE ATT&CK, UEBA, Threat Hunting, Anomaly Detection
• 💻 Dev/Infra: Python, Docker, GitHub Actions, Azure DevOps

• Blue Teaming with KQL
  Repository with Sample KQL Query examples for Threat Hunting.
  Covers advanced techniques in security monitoring and detection using Kusto Query Language (KQL) for Azure Sentinel and Log Analytics.

  

• Threat Hunting with Notebooks
  Repository with sample threat hunting notebooks on Security Event Log Data Sources.
  Includes interactive Jupyter Notebooks for threat hunting, incident response, and data science-driven investigations.

  

🌎 LinkedIn | 🐦 Twitter/X

• ♟️ Chess enthusiast — aggressive & tricky playstyles
• 🎨 Loves designing infographics, dashboards, and agentic AI workflows
• 💬 Favorite quote:
  “Defenders think in lists, attackers think in graphs. As long as this is true, attackers win.” – John Lambert

⭐️ If you like my work, consider following or checking out my projects! Do not forget to star repositories if you find healpful