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Syed Fahad Shah

NUST · 2026 · 407556
Email
sshah.bscs22seecs@seecs.edu.pk
Phone
923490488422
LinkedIn
https://www.linkedin.com/in/faahad43
GitHub

Academic

Program
CGPA
2.86
Year
2026
Education
Computer Science SEECS , Islamabad , 2.86 (2026)
Address
HOUSE NO 07 STREET 21 TIP HOUSING SCHEME HARIPUR , Haripur , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Full Stack Software Engineer with hands-on experience in React, Next.js, Node.js, and MongoDB, specializing in building scalable web applications and business systems. Proven ability to develop CRM platforms, AI-powered solutions, and real-time dashboards with secure authentication and optimized performance. Strong problem-solving skills with practical exposure to AI/LLM integration, API development, and modern deployment workflows. Passionate about delivering efficient, user-centric software solutions. EDUCATION Computer Science SEECS , Islamabad , 2.86 (2026) INTERNSHIP EXPERIENCE Graysol 01-Jul-2024 - 30-Sep-2024 Developed fully responsive company website from Figma designs using MERN stack. Implemented dynamic frontend and backend features ensuring cross-browser compatibility and mobile responsiveness. JFF Consultant 15-Jun-2025 - 16-Jan-2026 Developed Sales CRM system with comapnies, contacts leads, quotes, pipelines, opportunities and business card in automated flow with interactive analytics dashboard using Recharts for data visualization. • Integrated AI-powered chatbot with database and APIs to answer queries across sales and finance systems. • Implemented Excel file upload & chunking for bulk data import with cancellation support on serverless deploy ments in Sales CRM. • Built Finance system for journal entries, accounts, invoices, and image-based invoice processing with full CRUD operations. • Created JFF website and UET Alumni portal with 100+ users, enabling events, job posting,In-app and email notification workflows and using Cloudinary for image storage. • Integrated webhooks & Clerk authentication for real-time data sync with MongoDB and secure user authenti cation. FINAL YEAR PROJECT Web Application Firewall: A Hybrid Approach Using Signatures and Machine Learning Designed and implemented a hybrid Web Application Firewall combining OWASP ModSecurity rules with a Machine Learning model (LSTM + GCN) to detect and classify web attacks in real time. Built a full-stack system with NGINX reverse proxy, Flask backend, MongoDB logging, and Next.js admin dashboard. Achieved multi-class attack detection with automated threat response and dynamic rule generation. TECHNICAL EXPERTISE React.js Experienced in building dynamic and responsive user interfaces using React. Developed multiple dashboards, CRM systems, and portals with reusable components, state management, API integration, and real-time data visualization. Next.js Proficient in developing full-stack applications using Next.js with server-side rendering, API routes, authentication, and optimized performance. Built admin dashboards and AI-powered applications with scalable architecture.

AI enrichment

Full Stack Software Engineer with hands-on experience in React, Next.js, Node.js, and MongoDB, specializing in building scalable web applications and business systems. Proven ability to develop CRM platforms, AI-powered solutions, and real-time dashboards with secure authentication and optimized performance. Strong problem-solving skills with practical exposure to AI/LLM integration, API development, and modern deployment workflows. Passionate about delivering efficient, user-centric software solutions.
Status: ai_done
Provenance
Source file:
Created: 1777448792