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root@netsec:~# ./init_portfolio.sh --user "Sai Mrityunjai Kannan"
ONLINE ◉
SYS_UPTIME: 142:38:19 LATENCY: 22ms FIREWALL: SECURED // ACTIVE (DROP) ENV: PRODUCTION
Sai Mrityunjai Kannan
[ STATUS: OPERATIONAL ◉ ]
OPERATOR_ID: SAI // MATCH: 100%
// OPERATOR IDENTITY

Sai Mrityunjai Kannan

> Security Systems Builder & Lab Researcher

  • DEGREE: B.S. Cybersecurity (UNT)
  • LOCATION: Texas, US
  • TARGET: Cybersecurity Intern
  • DOMAINS: Cloud Defense, Threat Detection & Hunting, System Hardening
  • HARDWARE: PC Building, Peripheral Modding, Component Diagnostics
// ABOUT_OPERATOR // LOG ENTRY

Hey, I'm Sai — welcome to my terminal portfolio.

I'm an undergraduate majoring in Cybersecurity at the University of North Texas (UNT). My focus centers on threat detection, cloud infrastructure defense, and understanding systems from both a hardware and technical standpoint.

I bridge the gap between low-level hardware and high-level software: custom PC builds, diagnostic repairs, mouse micro-switch replacements, and configuring isolated detection pipelines like Sentinel on AWS. When I'm not in the terminal, I'm dashing to fund hardware labs, pushing heavy in the gym, following soccer, and tuning into cinematic scores.

🤖 AI & Cyber Integration 🛠️ PC Building & Diagnostics 🖱️ Mouse & Peripheral Repair ⚽ Soccer 🏋️ Gym & Fitness 🎧 Cinematic Music 🚗 Daily Hustle & Labs
// INDEPENDENT RESEARCH // IN PROGRESS

Secure Federated Learning for Health AI

[RESEARCH_ACTIVE]

Hands-on independent research directly bridging cybersecurity, artificial intelligence, and sensitive health data. Engineered a simulated multi-client federated learning environment to rigorously benchmark decentralized vs. centralized model architectures under non-IID (uneven) data distributions. Evaluates adversary threat surfaces, data privacy attack vectors, and model performance to demonstrate how clinical AI can be trained effectively without ever centralizing confidential patient telemetry.

Federated Learning Privacy-Preserving AI Simulated Multi-Client Non-IID Evaluation Data PrivacyCybersecurity + Health AI
// CREDENTIALS & PIPELINE TRACK
[VERIFIED]
Cisco — Security Operations Center (SOC) ID: JMHNXEVN5VCA // Issued: Aug 2026
[VERIFIED]
Anthropic — AI Fluency: Framework & Foundations ID: of85a6vobsrz // Issued: Aug 2026 Covers 4D Framework (Delegation, Description, Direction, Development)
[IN_PROGRESS]
CompTIA Security+ Target Window: December 2026 – February 2027
★ FLAGSHIP SYSTEM // INTRUSION DETECTION & OBSERVABILITY
AWS INFRASTRUCTURE // LIVE DEFENSE

Cloud Threat Detection Pipeline (Sentinel)

Engineered a live real-time cloud threat detection and alerting pipeline from scratch on AWS EC2. Built to bridge system-level enforcement with instant notification and deep observability:

  • > ENFORCEMENT: Configured Fail2ban to parse SSH authentication logs and auto-ban malicious IPs brute-forcing the instance.
  • > VISIBILITY & ALERTING: Custom Python daemon tails auth logs in real time, extracts attacker IP, target service, and action taken, and dispatches structured rich Discord embeds via webhook bot ("Captain Hook").
  • > TESTING & VALIDATION: Injected synthetic mock ban logs via terminal to stress-test regex parsing, error handling, and alert triggers before deploying to production traffic.
  • > PERSISTENCE: Deployed as a dedicated 24/7 systemd background daemon with auto-restart on failure, configured with systemd unit dependencies to wait for Fail2ban on boot and eliminate race conditions.
  • > METRICS TELEMETRY: Scrapes live instance metrics (CPU, RAM, disk, network bandwidth) every 5 seconds via Prometheus & node_exporter into real-time Grafana dashboards.
AWS EC2 Fail2ban Python Daemon systemd Service Discord Webhooks Prometheus node_exporter (5s Scrape) Grafana Log Regex Parsing SSH Hardening
// LAB EXPERIENCES & HARDWARE (2)
EXPERIENCE // LOGGING & FORENSICS

PCAP Threat Analysis & Log Inspection

Hands-on experience in protocol logging, traffic packet inspection, and telemetry analysis using Wireshark and CyberChef in isolated VM labs to identify Hydra brute-force patterns and extract IOCs.

WiresharkCyberChefPCAP AnalysisLog ParsingHydra
◉ LAB_EXECUTION // COMPLETED & VERIFIED
PROJECT // HARDWARE & BENCH LAB

PC Building, Diagnostics & Peripherals

Custom workstation builds, hardware fault isolation, thermal optimization, micro-soldering switch replacements for gaming mice, and firmware calibration.

Custom Rig BuildingHardware DiagnosticsMouse Switch ModdingSoldering
// INTERACTIVE_SHELL (type 'help' or click suggestions)
Type help to view available interactive commands.
guest@sai-terminal:~$
// CONNECT_WITH_ME