
SADIK AL MAHMUD
Web and MERN Stack Developer | WordPress and Plugin Developer | Motion Graphics and Video Editor
I specialize in MERN stack, WordPress development, and custom plugin creation, building fast, scalable, and secure digital solutions. With deep expertise in network security, I ensure robust protection while crafting seamless UI/UX designs that enhance user experience. Beyond development, I bring brands to life through motion graphics and video editing, merging technology with creativity. Whether it's a cutting-edge web platform, a secure application, or dynamic multimedia contentโI deliver solutions that stand out.
Education & Academic Journey
๐BSc in Computer Science (Computer Networkย &ย Security)
ย Universiti Teknologi Malaysia
๐ Higher Secondary Certificate (HSC)
Adamjee Cantonment College
MY SKILLS AND EXPERTISE
CERTIFICATIONS
CCNA 1: Introduction to Networks (Version 7.0)
CCNP Enterprise: Core Networking & Advanced Routing
CCNA 2: Switching, Routing, and Wireless Essentials (Version 7.0)
Network Security & Cybersecurity Specialization
CCNA 3: Enterprise Networking, Security, and Automation (Version 7.0)
WORK EXPERIENCE
๐ผ Web & Multimedia Intern
๐ Win2 Food Marketing Sdn. Bhd. | 2024
As a Web & Multimedia Intern, I contributed to enhancing the company's digital presence by:
- Website Development & Maintenance โ Assisted in managing and optimizing the company's website for better performance and user experience.
- Multimedia Content Creation โ Designed engaging visual and motion graphics for marketing campaigns and branding.
- SEO & Digital Strategy โ Helped improve online visibility by implementing SEO best practices and content strategies.
EXPERIENCE & LEADERSHIP
๐ฅ Esports Video Competition โ Director
๐ฎ Persatuan E-Sport UTM โ Multimedia Head
๐ UNESCO โ Multimedia Head
๐ก Jumpstart Your Web Development Journey with React & Next.js โ Committee Member
๐ ISOP (International Student Orientation Program) โ Organizer
๐ Pertandingan Autocar 2020/2021 โ Participant
RESEARCH & PROJECTS
๐ Improving Cybersecurity using CNN & RNN for Phishing Attack Detection
Developed a machine learning model for detecting phishing attacks, improving cybersecurity measures using deep learning techniques.