Cybersecurity & Software Engineer
SOC Operations • DFIR • Detection Engineering • Secure Software Engineering • AI & Automation
I build defensive security tools, operational software, and AI-assisted systems with security engineered in from the beginning.
I'm Julian Silva‑Erazo, a Computer Science & Information Security student focused on security operations, DFIR, detection engineering, and secure software development.
I build security tools and applications that combine defensive security with software engineering — from forensic investigation platforms and detection systems to automation and operational software.
I also use AI-assisted development, prompt engineering, and workflow automation to accelerate engineering while keeping architecture, validation, and security decisions deliberate.
Flagship platforms and tools engineered end-to-end, with security built into the architecture rather than added after the fact.
Personal Operations & Intelligence Platform
A personal operations and intelligence platform for tracking projects, systems, and security posture in one place, built with security-by-design principles from the ground up.
Current build — Dashboard, missions/tasks, education, calendar, applications, and finance modules, with responsive mobile in progress.
Secure Restaurant Operations SaaS
A secure, multi-tenant SaaS platform for restaurant operations, with role-based access control and row-level security enforced at the data layer.
Current build — Dashboard, reservations architecture, customer CRM/conversations work, multilingual UI, and security-first tenant/RBAC design.
AI-Assisted DFIR Timeline Reconstruction
An AI-assisted DFIR tool that reconstructs forensic artifacts into a structured investigation timeline, built to speed up incident analysis.
Current build — React frontend and FastAPI backend architecture for forensic CSV ingestion and investigation workflows.
Interactive Cybersecurity Training Platform
An interactive cybersecurity training platform built around progression-based learning modules aligned to Security+ objectives.
Current build — Missions, progression systems, analyst stats, campaign interfaces, and Security+ learning workflows.
Smaller, focused research and lab work — exploratory and investigative, distinct from the flagship systems above.
ML-based network intrusion detection work using models such as Random Forest, Logistic Regression, Isolation Forest, and hybrid approaches.
Automated threat-intelligence workflow using n8n and LLM-based relevance scoring.
Forensic investigation work using Windows artifacts such as event logs, registry data, prefetch, jump lists, and SQLite-backed application data.
Security lab focused on detecting and mitigating denial-of-service activity using Suricata, Apache, iptables, and controlled traffic generation.
Identity and infrastructure security work involving Active Directory, Group Policy, authentication systems, users/groups, and enterprise access-control concepts.
Tools, platforms, and technologies spanning security operations, digital forensics, security engineering, application development, and AI-assisted automation.
Open to cybersecurity, security engineering, SOC/DFIR opportunities, and technical collaboration.