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ns7523/README.md


About

I design and build intelligent security systems across artificial intelligence, cybersecurity, and IoT security.

My work focuses on applied machine learning for threat detection, secure automation, network defense, and privacy-aware engineering. I am interested in research-driven development where models, infrastructure, and security systems converge to solve real-world risk problems.


Engineering Focus

  • AI-driven threat detection systems
  • IoT attack detection and mitigation
  • Network security analytics
  • Cloud security foundations
  • Secure software architecture
  • Applied machine learning pipelines

Professional Identity

  • AI & Cybersecurity Engineer
  • Security-focused AI Systems Developer
  • Research-oriented builder
  • Intelligent secure systems developer
  • Practical systems thinker
  • Continuous learner in security research


Technical Stack

Technical stack

AI / ML Security Cloud Systems
TensorFlow
Scikit-learn
Python		 Threat Detection
Network Security
Secure Systems		 AWS
Cloud Security
Deployment		 Linux
Docker
Git


Featured Projects

DDoS Attack Detection in IoT

AI-powered detection system designed to identify malicious traffic patterns in IoT environments.

Focus: IoT Security · Machine Learning · Network Defense

Network Attack Detection

Security analytics project for identifying abnormal and hostile network behavior using intelligent detection logic.

Focus: Cybersecurity · Network Analysis · Threat Intelligence

Threat Detection Systems

Research-oriented systems for detecting, classifying, and responding to security threats across digital environments.

Focus: Applied ML · Security Engineering · Detection Systems

Deep Ensemble Attack Detection

Efficient ensemble-based framework for detecting sophisticated network attack patterns.

Focus: Deep Learning · Intrusion Detection · Security AI

Security Utilities

Password Manager with Secure Vault

Secure credential storage concept focused on privacy, encryption, and user-controlled access.

USB Drive Malware Scanner

Endpoint security utility for inspecting removable media and identifying suspicious files.

Smart USB Port Lock

Access-control system for restricting unauthorized USB device usage on protected systems.


Research & Innovation

Intelligent Detection

Building ML-assisted systems that classify anomalous behavior, malicious patterns, and emerging attack signals.

Secure Infrastructure

Exploring resilient architectures for cloud-connected and IoT-driven systems with security-first engineering principles.

Applied Security AI

Translating machine learning concepts into practical cybersecurity tools for detection, automation, and response.

Research Direction: AI-assisted cybersecurity systems for IoT, network defense, and secure automation.



GitHub Analytics

GitHub Streak



Contribution Graph

Contribution Graph


Current Focus

Building

  • AI-powered security detection systems
  • IoT threat analysis tools
  • Secure automation workflows
  • Cloud-aware security utilities

Studying

  • Advanced machine learning for cybersecurity
  • Network intrusion detection methods
  • Cloud security architecture
  • Secure systems engineering


Contact

Open to research collaboration, security engineering projects, and AI-driven cybersecurity work.



GitHub Email LinkedIn

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  1. DDoS-attack-in-IoT-Real-Time DDoS-attack-in-IoT-Real-Time Public

    Feature Engineering and Machine Learning Framework for DDoS Attack Detection in the Standardized IoT!

    JavaScript 3

  2. Network-attacks-detection Network-attacks-detection Public

    A Hybrid feature extraction method with machine learning for detecting the presence of network attacks

    HTML 1

  3. Threat-Detection-in-IoT Threat-Detection-in-IoT Public

    An intelligent approach to improving the performance of Threat detection in IOT

    HTML 2 1

  4. Deep-Ensemble-Attack-Detection Deep-Ensemble-Attack-Detection Public

    Deep Ensemble-based Efficient Framework for Network Attack Detection

    Jupyter Notebook 1