Muhammad Siddique
I am Muhammad Siddique, a Cybersecurity Expert, ICT Lecturer, Python Automation having a solid academic and professional background in digital ecosystem security. I have experience in both industry and academia in all aspects of network security, penetration testing, IoT security, and automation.
I am a dedicated cybersecurity professional and educator, currently contributing as a Lecturer. My core drive is to tackle complex security challenges head-on, from securing IoT devices with machine learning to training the next generation of security experts.
My expertise lies in both offensive and defensive security strategies, with hands-on experience in penetration testing, vulnerability assessment, and security tool implementation.
I offer a comprehensive range of cybersecurity, technology, and educational services to meet your diverse needs.
Comprehensive security solutions including penetration testing, vulnerability assessment, network security, and incident response to protect your digital assets.
Custom ML solutions for security applications, data analysis, and automation. Specializing in IoT security profiling and threat detection systems.
Full-stack web development with Django, modern frontend technologies, and secure web application development following best practices.
Comprehensive Linux administration and security training. Learn system administration, shell scripting, and security hardening techniques.
Python development for automation, security tools, web applications, and data science projects. From basics to advanced concepts.
Professional Django web application development with focus on security, scalability, and maintainability. REST APIs and full-stack solutions.
System programming, embedded systems development, and performance-critical applications using C and C++ programming languages.
End-to-end project development including requirements analysis, design, implementation, testing, and deployment for various domains.
Comprehensive tutoring for O/A Level Computer Science, Mathematics, and related subjects with focus on exam preparation and concept clarity.
Personalized home tutoring for computer science, programming, and mathematics subjects at all academic levels with flexible scheduling.
My research contributions in cybersecurity, IoT security, machine learning applications and ACADEMIA.
University of Engineer and Technology Journal, 2025
This research proposes a novel machine learning-based approach for lightweight IoT device profiling to enhance security in connected environments. The framework effectively identifies anomalous behavior and potential security threats in IoT ecosystems.
ACADEMIA International Journal for Social Sciences (AIJSS), 2025
In order to bridge the gap between academics and industry, this study paper delves into the crucial function of experiential learning. It gives some background and then dives into how experiential learning helps students build skills and critical thinking in preparation for the job by focusing on practical applications and hands-on experiences.
In process, 2025
This paper presents an AI-driven threat intelligence system that leverages machine learning algorithms to predict and prevent network security breaches. The system demonstrates superior performance in early threat detection compared to traditional methods.
Providing hands-on training for students in subjects "Introduction to Cyber Security", "Vulnerability Assessment and Reverse Engineering", "Operating Systems", "Computer Networks", "Web Technologies".
Implemented and maintaining security tools and technologies in an academic environment.
Assisted senior analysts in conducting penetration testing on the company's internal network using tools like Metasploit, Wireshark, Nmap.
Participated in incident response activities, analyzing and mitigating security breaches and vulnerabilities using SIEM tools and Suricata.
Designed malware in python programing language to hack the windows 10/11 over the internet. This is our research to check the windows security and how it can be bypass
Outcome: Demonstrated understanding of Windows 10/11 security and threat of continuous security training.
Designed and executed phishing simulation campaign to assess and improve organizational awareness of social engineering threats.
Outcome: Demonstrated understanding of social engineering risks and the importance of continuous security training.
Conducted thorough scans on a small internal network to identify open ports, potential vulnerabilities, and system misconfigurations.
Outcome: Produced detailed documentation with actionable recommendations for remediation.
Research project focused on developing machine learning-based lightweight IoT device profiling for enhanced security.
Outcome: M.Phil research thesis contributing to IoT security advancements.
University of Engineering and Technology, Lahore, Pakistan
Completed in May, 2025
University of the Punjab, Lahore, Pakistan
Graduated 2021
Palo Alto Network | 2025
Packt | 2025
CISCO | 2024
UET, Lahore | 2023
UET, Lahore | 2023
I am always open to discussing new opportunities, collaborative projects, or the latest trends in cybersecurity.
Lahore, Punjab, Pakistan
siddiqueitexpert@gmail.com
+92 301 336 9414