Syed Fahad Shah
NUST
· 2026
·
407556
Email
sshah.bscs22seecs@seecs.edu.pk
Phone
923490488422
LinkedIn
GitHub
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Academic
Program
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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
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Career
Current role
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Target role
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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