Nurain / Backend Dev
Hi, I'm Nurain Syuhada! 👋
Fresh graduate in Computer Science (Software Development) with CGPA 3.56 and 4 Dean's Awards. Experienced in PHP backend, deep learning web apps, and logistics systems. Actively seeking a Junior PHP / Backend Developer role. Available to start work immediately (April 2026).
Final-year Computer Science (Software Development) student with CGPA 3.56 and four consecutive Dean's Awards. Completed 6-month internship at EPIC Berhad subsidiary, developing and enhancing enterprise-level PHP-based logistics and inventory systems. Experienced in building role-based access systems, workflow automation, and database optimization. Award-winning Final Year Project developer specializing in deep learning web applications. Seeking Junior PHP / Backend Developer role.
Bachelor of Computer Science (Hons) in Software Development
Oct 2022 – Apr 2026 | University Sultan Zainal Abidin, Terengganu
Expected Graduation: 2026 · Current CGPA: 3.56 / 4.00
Relevant Coursework: Software Development, Web Development, Data Analysis, Database Management, Object-Oriented Programming
- Dean's Award (Sem 3, 4, 5, 6) – University Sultan Zainal Abidin (2023–2025)
- Gold Medal – Virtual Innovation Competition (Dermascan) – UiTM Machang (2025)
- Silver Medal – Final Year Project Showcase (Dermascan) – UniSZA (2025)
- Bronze Medal – Minggu Penyelidikan dan Inovasi (Dermascan) – UniSZA, UCTATI, UMT (2025)
- Associate Fellow (Information Technology Fundamentals) – Oxbridge Institute, UK (Jan 2026)
- Automating Real-World Tasks with Python – Google/Coursera (Dec 2024)
Software Developer Intern | PBKSB (EPIC Berhad subsidiary)
5 Oct 2025 – 2 Apr 2026
KTSB System – Integrated Logistics Management System (ILMS) Module
Developed marine logistics workflows (berth requests, port dues, clearance approvals) within a 4-person team, digitizing manual processes and reducing processing time by 70%. Built responsive interfaces with optimized database integration.
Tech: PHP, MySQL, HTML, CSS, JavaScript
EPIC OG Inventory Tracking System – Upgrade & Enhancement
Led system upgrade including database restructuring, performance optimization (40% faster search), and multi-role dashboards with access control. Reduced data entry errors by 60%.
Tech: PHP, MySQL, HTML, CSS, JavaScript
🔬 Dermascan: Skin Disease Detection Using Deep Learning
Final Year Project · 2025 · Gold Medal (UiTM Innovation)
- Situation: Manual skin disease diagnosis is time‑consuming and prone to subjectivity, especially in rural clinics with limited dermatologists.
- Task: Develop an accessible web‑based tool that can classify skin conditions from images with high accuracy to assist primary care.
- Action: Built a deep learning model using PyTorch (ResNet‑50) trained on a curated dataset. Integrated the model with a Flask backend, MySQL for user data, and a responsive frontend. Extensively tested and fine‑tuned to achieve robust performance.
- Result: Achieved 92% classification accuracy, won Gold at Virtual Innovation Competition (UiTM Machang) and Silver at FYP showcase. Currently used as a reference prototype by 2 university clinics.
Tech: Python, PyTorch, Flask, MySQL, HTML/CSS
⚓ ILMS Module – Integrated Logistics Management System
PBKSB (EPIC Berhad) · Oct 2025 – Apr 2026
- Situation: Marine logistics at KTSB relied on manual paper‑based forms for berth requests, port dues, and clearance approvals, causing delays, lost documents, and slow processing.
- Task: Digitize the entire workflow into a unified ILMS module to streamline operations and reduce turnaround time.
- Action: Collaborated in a 4‑dev team to design and build a PHP/MySQL web module with role‑based dashboards (port admin, finance, marine operator). Automated notifications, digital approval chains, and integrated real‑time status tracking.
- Result: Digitized 100% of manual forms, slashed average processing time by 70% (from 5 days to 1.5 days). Adopted by KTSB marine division; error rate dropped by 65%.
Tech: PHP, MySQL, JavaScript, HTML/CSS, Bootstrap
🧭 Career Guidance System (RIASEC Model)
University Project · 2024
- Situation: Students struggle to identify suitable career paths aligned with their personality traits and interests.
- Task: Build an interactive web-based career guidance system using the RIASEC (Holland Codes) model.
- Action: Developed a dynamic assessment system with 60+ questions, real-time scoring, and personalized career recommendations. Implemented admin panel for managing questions and viewing analytics.
- Result: Successfully deployed for university career counseling center, used by 200+ students with 85% positive feedback on recommendation accuracy.
Tech: PHP, MySQL, JavaScript, HTML/CSS, Chart.js
📦 EPIC OG Inventory Tracking System
PBKSB (EPIC Berhad) · Jan 2026 – Apr 2026
- Situation: EPIC OG's legacy inventory system had slow search performance, frequent data entry errors, and lacked proper access control for different user roles.
- Task: Lead the system upgrade and enhancement project to improve performance, reduce errors, and implement role-based access.
- Action: Restructured the database schema for optimal query performance, implemented advanced search with filtering and pagination, created multi-role dashboards (admin, warehouse staff, manager), and added validation rules to prevent data entry mistakes. Built TECRF (Tool Equipment Calibration Request Form) module for tracking equipment maintenance.
- Result: Achieved 40% faster search performance, reduced data entry errors by 60%, and improved user satisfaction scores by 45%. System now handles 500+ daily transactions smoothly.
Tech: PHP, MySQL, JavaScript, HTML/CSS, AJAX, Bootstrap
comfort: very high
comfort: high
comfort: intermediate+
Programming & Tools
PHP, Python (Flask, PyTorch), Java, HTML5, CSS3, JavaScript, MySQL, Database Design, Query Optimization
Languages
- Malay (Native)
- English (Professional Working)
Prof. Madya Dr. Abd. Rasid Bin Mamat
Lecturer, University Sultan Zainal Abidin
📧 arm@unisza.edu.my | 📞 +609-6993014
FYP Supervisor
Pn Normah Binti Ibrahim
Manager, IT System & Solution
📧 normah@epicgroup.com.my | 📞 +6019-9867783
Internship Supervisor