My Portfolio | Vincent Limarus

[University Group Project]

SportsNow Web Application

SportsNow is a flexible platform for easy sports booking, initially focusing on one sport with plans to expand. It offers real-time venue and coach availability, connecting users with certified coaches for a quality experience. This project simplifies sports booking in coaching and venues.

In this project, I contributed as a Database Engineer by designing the ERD (Entity-Relationship Diagram), defining the entities and attributes for each table, and as a Back-end Developer by working on GIN and GORM frameworks for every services with my partner.

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[Personal Project]

LocalArtisans Back-end Services

LocalArtisans is a back-end service project that creates a robust RESTful JSON API for an e-commerce platform supporting Indonesian artisans. Developed with Golang, using the Gin framework and GORM, it secure handling of user requests.

All API requests are processed in a PostgreSQL database, supporting CRUD operations and enhancing functionality. The goal is to provide a seamless, scalable API for artisans to manage and showcase their products securely.

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[University Group Project]

Meja Belajar Web Application

Meja Belajar is a web application that connects university students as mentors and mentees. Mentors, who excel academically, help other students improve their academic performance, fostering a supportive learning environment within the university.

In this project, I contributed as a Database Engineer by designing the ERD (Entity-Relationship Diagram), defining the entities and attributes for each table, and as a Back-end Developer by working on GORM Models and Courses Service related to the project.

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[Personal Project]

Gmail OTP-Based User Registration

This mini project integrates with the Google API to enable users to register using their Google email and a one-time password (OTP). The system leverages secure authentication methods to ensure a seamless and safe registration experience.

By combining Google email verification with OTP, users can easily create accounts while maintaining high security standards. This project highlights the implementation of effective registration processes in Go, showcasing the capabilities of modern authentication techniques.

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[Personal Project]

Log Activity Tracker

This project focuses on developing a Log Activity Tracker using Go, MongoDB, and PostgreSQL (PSQL). The system is designed to capture and store all user activity changes efficiently.

Logged activities are stored in MongoDB for optimized retrieval and analysis. Using several frameworks including Gin for building a web API, sqlx for enhanced database interactions, and golang-migrate for managing database schema migrations.

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[Personal Project]

Golang + Redis Cache

Trying to implement caching in Golang using Redis. This project demonstrates how Redis can be used as an efficient caching layer to store frequently accessed data.

The project is built using the Gin framework for handling HTTP requests and GORM for database interactions. Redis acts as an in-memory data store, allowing quick retrieval of cached data and enhancing overall application performance.

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[University Group Project]

Comparative Analysis for Enhanced Hoax Detection Accuracy

In this research paper, we aim to conduct a comparative analysis of four different algorithms—BiLSTM, BiGRU, BERT, and XGBoost—to enhance the accuracy of hoax detection. The goal is to explore how each model performs when applied to the task of identifying hoaxes.

It explores the strengths of deep learning and gradient boosting techniques in improving accuracy for identifying hoaxes.

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Web-Based Portfolio

About Me

Latest Projects

[University Group Project]

SportsNow Web Application

[Personal Project]

LocalArtisans Back-end Services

[University Group Project]

Meja Belajar Web Application

[Personal Project]

Gmail OTP-Based User Registration

[Personal Project]

Log Activity Tracker

[Personal Project]

Golang + Redis Cache

[University Group Project]

Comparative Analysis for Enhanced Hoax Detection Accuracy

Created using simple HTML, CSS, and JS