Sagar Niroula

Designed and developed QuickDine, a web-based app to address real-world challenges in local restaurants. Created functionalities for faster table orders, automated billing, and an improved dining experience using Next.js and MongoDB.

Acquired expertise in request-response cycles, authentication headers, and scripting using Postman. Developed proficiency in API testing and documentation, ensuring robust and reliable API interactions.

Contributed as a peer reviewer for technical papers under the Asian Research Association. Ensured the quality and integrity of published research by providing constructive feedback and critical evaluations.

Completed comprehensive training in Core Java, Advanced Java, ORM, and the Spring Framework. Gained practical skills essential for backend development and enterprise application creation.

Developed a phishing URL classifier using CNN and a GA-optimized MLP model. Extracted lexical and host-based features to significantly improve detection accuracy, leading to a published paper.

Supported students and faculty during academic and technical events, assisting with hands-on tutorial sessions. Contributed to organizing and managing college tech fests and exhibitions, enhancing the overall event experience.

Gained hands-on experience with essential data science libraries including NumPy, Pandas, and Scikit-learn. Developed foundational skills in data manipulation, analysis, and machine learning model implementation.

Built a crop recommendation tool utilizing Naive Bayes, Decision Tree, Random Forest, and SVM algorithms. Trained models on diverse datasets including soil, weather, and crop yield for optimal prediction accuracy, resulting in a published work.

Activities and societies: KEC LITE 2024 – Volunteer, KEC Hack-A-Lite – Hackathon Participant

Graduating June 2025, affiliated to Tribhuvan University. Relevant coursework included DSA, OOP, Object Oriented Analysis & Design, and Web Technologies.