Security engineer focused on defending edge & distributed systems — from runtime threat detection and malware elimination to penetration testing and packet-level forensics. Secured a live 100-node edge deployment.

Projects

Leopard Detection System — Security & Threat Monitoring
100 nodes hardened · live
Secured a 100-node edge deployment against intrusion, tampering and malware.
  • Threat-monitoring agent on every node: IP whitelisting, process whitelisting, outbound-socket monitoring and disk / file-integrity (FIM) to catch tampering and malware.
  • Malware detection & elimination: flagged unsigned / unexpected binaries and beaconing connections, isolated compromised processes, and auto-restored nodes from clean images.
  • Zero-trust network: WireGuard VPN + mTLS, no public inbound ports, automatic cert rotation — hardening every edge node.
  • Penetration testing: assessed the deployment with Nmap / Metasploit / Burp, verified no exposed services and closed findings.
  • Packet-level forensics: tcpdump / Wireshark to tell apart attacks, TLS-handshake failures, resets and data-exfiltration attempts.
IP / process whitelistingmalware eliminationpen testingmTLS / VPNpacket forensics

Systems & Debugging

Advanced AI Ecosystem Training

by DeepManthan AI Production AI Ecosystem Program
Intensive program on building & operating production AI systems — containers, orchestration, distributed systems, networking and deep learning.
Containerisation — Docker, images, isolation, OTA rollouts
Orchestration — Kubernetes, self-healing, scaling
Distributed Systems — Raft consensus, consistent hashing
Messaging — pub/sub, topics, partitions, offsets
Concurrency — multi-threading, producer–consumer
Computer Vision — CNNs, convolution, detection
Networking — TCP/IP, SSH, private overlays
Linux & Ops — processes, daemons, systemd

Impact Highlights

100
nodes hardened
0
breaches
0
public inbound ports
Auto
threat response & recovery
Tip: open in a browser and use Print → Save as PDF. This is the Cybersecurity Engineer variant — personal details are placeholders.