Open to Opportunities

Shazan Shaheed

Software Engineering

Computer Science and Engineering Undergraduate • University of Moratuwa, Sri Lanka

I build scalable software, intelligent systems, and data-driven applications that solve real-world problems.

About Me

I am a Computer Science and Engineering undergraduate at the University of Moratuwa with a strong interest in software engineering, machine learning, intelligent systems, and scalable application development.

I enjoy turning complex problems into practical software solutions and working across the full development lifecycle — from system architecture and backend development to frontend experiences and deployment.

shazan1802@gmail.com

+94770651964

Sri Lanka

Featured Projects

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Trilingual Multimodal Financial Support Ticket Classification System

A multilingual intent-classification pipeline for English, Sinhala, Tamil, Singlish, and Tanglish banking-support tickets. Integrated OCR-derived evidence from receipts and screenshots with ticket text for multimodal prediction.

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Order Management System (PWA)

Full-Stack Developer

A full-stack, mobile responsive dashboard for end-to-end order and inventory lifecycle management.

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Semantic RAG Search Engine for Tamil Lyrics

Full-Stack AI Engineer

A Retrieval-Augmented Generation (RAG) system for highly relevant, hallucination-free Tamil song stanza search.

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Smart Campus Digital Twin

Data & ML Engineer

An end-to-end real-time IoT streaming pipeline integrating 3D visualization and machine learning anomaly detection for campus monitoring.

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MedSync — Medical Clinic Management System

Full-Stack Developer

A full-stack clinic management system for appointments, patient records, treatments, and billing.

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Explore Lanka — Gamified Tourism Web App

Full-Stack Developer

A full-stack tourism platform with GPS-based visit verification, rewards, and an AI-powered trip-planning assistant.

Publications

August 2026

Environmental Drivers of Respiratory Disease: A District-Level Analysis

Rahim Iqbal, Asfi Ahamed, Izzath Nisfer, Shazan Shaheed, Muhammadu Ilham, Nathali Athukorala, Madara Mendis, Nisansa de Silva, Sandareka Wickramanayake

Moratuwa Engineering Research Conference 2026 (MERCon 2026), Data Science and Artificial Intelligence

Sri Lanka has experienced a decade of progressive forest degradation and rising atmospheric pollution, yet district-level respiratory admissions have paradoxically declined, pointing to the confounding role of healthcare access. This study addresses that gap by constructing an 11-year panel dataset across all 25 administrative districts. Two temporally validated XGBoost models were created for annual district-level respiratory rate (R^2 = 0.937) and monthly PM2.5 concentration (R^2 = 0.976). SHAP analysis established that cumulative air quality burden is the overwhelming driver of respiratory rate variance (80.1%). These findings present the inaugural evidence-based, district-level framework correlating environmental degradation with respiratory health in Sri Lanka.

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My Education

B.Sc. (Hons) in Computer Science & Engineering

University of Moratuwa

Sri Lanka

2024 – Present

Undergraduate studies focused on software engineering, computer systems, algorithms, artificial intelligence, databases, networking, and scalable application development.