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Ali Abdullah

NUST · 2026 · 413814
Email
abdullah.bscs22seecs@seecs.edu.pk
Phone
923070419233
LinkedIn
https://www.linkedin.com/in/ali-abdullah9
GitHub

Academic

Program
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

Career

Current role
Target role
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