AI founding engineer who ships complex products solo: AI systems, infra, OS, security, and ultra-low-latency platforms

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Chandra Bhayal  • Peerlist

MREM v3 — Hybrid Cyber-Physical Reconnaissance Platform Developer Built MREM v3, an advanced cyber-physical reconnaissance platform designed for professional Red Team operations, combining software-defined intelligence with dedicated RF hardware for real-time environmental analysis and attack surface mapping. Developed a hybrid reconnaissance system integrating Wi-Fi, BLE, ARP and Nmap-based network intelligence with Arduino Uno and NRF24L01+ hardware for raw 2.4GHz spectrum analysis and device correlation. Engineered a real-time Presence Engine capable of detecting human movement and device presence using Wi-Fi signal variance analysis and BLE path-loss modeling without requiring active transmission from targets. Integrated AI-driven reconnaissance workflows using Gemini Flash to analyze live JSON telemetry, answer natural language security queries and autonomously generate potential attack vectors based on environmental exposure data. Implemented cross-protocol correlation logic to identify hidden multi-radio gateways and relationships between BLE advertisements, Wi-Fi networks and raw RF transmissions for advanced threat intelligence mapping. Designed a Unified Exposure Index (UEI) scoring framework to continuously evaluate physical and wireless security posture using weighted telemetry and environmental risk analysis. Built scalable backend and frontend systems supporting live telemetry visualization, hardware integration, serial communication and real-time reconnaissance dashboards. Tech Stack: Node.js, React, Arduino, NRF24L01+, BLE, Wi-Fi Reconnaissance, Nmap, WebSockets, AI Integration, Cybersecurity, RF Analysis, Hardware-Software Systems