Ali Abdullah
NUST
· 2026
·
413814
Email
abdullah.bscs22seecs@seecs.edu.pk
Phone
923070419233
GitHub
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Academic
Program
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CGPA
2.72
Year
2026
Education
Computer Science
SEECS , Islamabad , 2.72 (2026)
Address
HOUSE NO. 48Y SCHEME NO.3 FARID TOWN,SAHIWAL PAKISTAN , Sahiwal , Pakistan
DOB
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Career
Current role
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Target role
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Skills
PROFESSIONAL PROFILE
Computer Science student at NUST Islamabad specializing in full-stack development with Next.js
and MERN stack. Experienced in blockchain applications, machine learning, and pursuing
cybersecurity knowledge. Combines technical expertise with strong problem-solving to deliver
efficient, user-centered solutions across multiple domains.
EDUCATION
Computer Science
SEECS , Islamabad , 2.72 (2026)
INTERNSHIP EXPERIENCE
Brainotech IT Solutions GmbH
03-Jun-2024 - 30-Aug-2024
Specialized in developing fast, SEO friendly, and scalable web applications from pixel perfect UIs to efficient backend architectures.
Experienced in remote collaboration and delivering production ready solutions.
FINAL YEAR PROJECT
Web Application Firewall: A Hybrid Approach Using Signatures and Machine Learning
This project aims to design and develop a hybrid Web Application Firewall (WAF) that combines the reliability of signature-based
detection with the adaptability of machine learning-based anomaly detection. The objective is to protect university-hosted web
applications against a wide range of threats, including both known attack patterns, like the OWASP Top 10 vulnerabilities, and
evolving zero-day exploits. It will be implemented by initially designing a signature-based WAF using established rulesets like the
OWASP CRS to create a baseline firewall. In parallel, the project will explore the use of ML techniques focusing on experimentation
with various ML models, feature engineering strategies and datasets, for anomaly detection in web traffic that may signal novel
attacks to design and determine a practical and effective implementation of the hybrid-WAF within a university’s digital ecosystem,
improving security coverage and minimizing false positive
TECHNICAL EXPERTISE
Web Developer
• Frontend: React.js, Next.js, TypeScript, Tailwind CSS, Framer Motion • Backend: Node.js, Express.js, REST APIs, Firebase,
MongoDB, PostgreSQL • State Management: Redux, Zustand, React Query, Context API • Deployment & DevOps: Vercel, Netlify,
GitHub Actions, Docker • Performance & SEO: Core Web Vitals o ...
AI enrichment
Computer Science student at NUST Islamabad specializing in full-stack development with Next.js
and MERN stack. Experienced in blockchain applications, machine learning, and pursuing
cybersecurity knowledge. Combines technical expertise with strong problem-solving to deliver
efficient, user-centered solutions across multiple domains.
Status: ai_done
Provenance
Source file: —Created: 1777448792