Mission Control for Your Operations

Practical DFIR and incident response playbooks covering phishing, malware, ransomware, insider threats, and cloud security incidents for SOC and IR teams.

Ask your logs what happened. Evidence-based incident explanations from logs: no dashboards, no chat, no hallucinations.

Deterministic replay and distributed incident forensics for first-failure and blast-radius analysis.

Universal root cause analysis framework using 5 Ws + 5 Whys. Graph traversal, Bayesian reasoning, causal inference, and information theory applied to structured problem solving. Works across engineering, security, medicine, business, and any discipline.

AI-powered incident analysis system using LLMs, FAISS vector search, and structured remediation planning

Self-arguing multi-agent LLM system for cybersecurity incident analysis that treats disagreement and uncertainty as first-class outputs instead of forcing single verdicts.

Python + Power BI project analyzing ServiceNow IT incident data. Identifies SLA breaches, delay patterns, and workload inefficiencies using statistical validation (Z-Test, ANOVA) and interactive KPI dashboards.

av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.

🕸️ 3- Distributed platform for intelligent analysis of incidents in Artificial Intelligence systems, based on **MCP (Model Context Protocol)**, with structured communication among agents, services, and specialized servers for investigation, classification, traceability, and decision-making support.

As the Red Team, you will attack a vulnerable VM within your environment, ultimately gaining root access to the machine. As Blue Team, you will use Kibana to review logs taken during their Day 1 engagement. You'll use the logs to extract hard data and visualizations for an assessment report. The log data will be interpreted in order to suggest m…

Java Spring Boot FX order-flow diagnostics lab with timeline reconstruction, incident detection, and root-cause style summaries.

issue-detection automation tool

Comprehensive investigation and analysis of a simulated data breach at LifeLabs. This project demonstrates forensic investigation techniques, breach impact assessment, and recommendations for breach prevention and response.

L2-Contributions-Portfolio

error log analyzer and alert tool

AI incident analysis agent over logs and metrics with anomaly detection, correlation, root-cause analysis, and LLM-assisted reporting.

🛡️ A comprehensive web application built with Next.js for conducting systematic risk evaluations and root cause analysis. Features multi-step forms for project data collection, potential hazard assessment, immediate and basic cause identification, and corrective action planning.

📊 Forecast daily support incident volumes to enhance resource planning using advanced time series analysis and reliable forecasting models.