Real systems. Real infrastructure. Built by a 19-year-old founder who codes at midnight and thinks in architecture.
A real-time network intrusion detection and prevention system powered by ML models. Monitors traffic patterns, detects anomalies using a custom-trained neural network, and auto-blocks suspicious IPs via iptables. Deployed on bare-metal Linux servers with sub-100ms response time.
Enterprise automation platform with multi-model ML inference, task orchestration pipeline, and REST API. Handles classification, NLP, and prediction workflows with MLflow experiment tracking.
Multi-hop zero-trust VPN on WireGuard + OpenVPN with automated cert rotation, split tunneling, and real-time connection analytics. 500+ concurrent users with auto-failover.
Custom Arch Linux-based distribution with pre-configured security hardening, mandatory access control (SELinux/AppArmor), full-disk encryption, and network filtering. Built for critical infrastructure. Includes kernel patches, automated compliance checks, and a management CLI.
Real-time infrastructure monitoring with ML-based anomaly detection. Monitors servers, containers, and services. Sends smart alerts and predicts failures before they occur using time-series analysis.
Android security analysis app for network traffic inspection, permission auditing, and app vulnerability scanning. Built-in packet sniffer, SSL pinning bypass detector, and device fingerprinting. Used in mobile pentesting.
High-performance Python API framework with built-in rate limiting, JWT auth, request signing, and auto OpenAPI docs. Sub-8ms response times. Powers multiple production app backends.
Python automation engine using Ansible for server provisioning, config management, and deployment pipelines. Reduced server setup time from 4 hours to 12 minutes across 40+ servers.
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