Full-stack developer with hands-on experience building AI-powered security tools like vulnerability scanners, phishing detection, and secure authentication systems. I work across Python/FastAPI, React/Next.js, and PostgreSQL/MongoDB, with OWASP Top 10-aligned testing practices.
I’m currently building enterprise-grade security intelligence platforms and security-focused developer tooling, combining LLM integrations (Google Gemini) with practical web/API security and threat management to turn technical findings into actionable risk insights.
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Core Features:
Automated Security Assessment: Initiate and manage security assessments by selecting target, scope, and tool presets, streamlining the security audit process.
CLI Tool Orchestration: Wrap existing Python-based CLI security tools as microservices, enabling automated execution and data ingestion into a centralized engine.
Risk Scoring and Correlation Engine: Calculate an overall risk score based on tool findings, correlate data across different tools to deduplicate findings, and handle false positives, providing a comprehensive risk overview.
Interactive Dashboard: Visualize security assessment results through an interactive dashboard with overall risk scores, severity breakdowns, tool-wise findings, attack timelines, and compliance mappings.
AI-Powered Report Summarization: Utilize AI to summarize key findings and translate technical risks into business-friendly language within the generated PDF reports, enhancing report readability and impact. The AI is only used as a tool.
Customizable PDF Report Generation: Generate professional, enterprise-grade PDF reports that include an executive summary, business risk impact analysis, attack surface overview, key findings, compliance mapping, and a remediation roadmap, customizable with client logos and branding.
Role-Based Access Control: Implement a JWT-based authentication system with admin and client roles, enabling secure access control and data isolation within the SaaS platform.
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