Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Engineer with less than a year in Backend Development & Machine Learning Integration
Highly motivated last-year Software Engineering Technology student at Institut Teknologi Del with strong specialization in backend development, full-stack web development, and machine learning integration. Experienced in building scalable web and mobile applications using Laravel 11, Flutter, MySQL, and RESTful APIs. Skilled in implementing secure authentication systems, stored procedures, dynamic location-based filtering, and end-to-end CRUD architectures. Hands-on experience in integrating Machine Learning models (CNN, Logistic Regression, Random Forest) into real-world systems, including image classification and predictive analytics. Strong understanding of software architecture, MVC pattern, database normalization, and system design. Passionate about building production-ready systems and continuously improving code quality and system performance.
Del Institute of Technology
Undergraduate Program in Software Engineering Technology · Software Engineering Technology
August 1, 2022 – June 30, 2026
Institut Teknologi Del
Full Stack Developer
January 1, 2025 – May 1, 2025
Toba, North Sumatra, Indonesia
Market Retribution System (TAPATUPA Platform)
June 1, 2026 – Present
Built microservice-based backend APIs using Laravel 12, PostgreSQL, and Docker. Implemented database-first architecture using PostgreSQL stored functions without ORM. Developed modules for market assets, stalls, billing, and payment records. Integrated APIs through Nginx Gateway with JWT authentication. Designed normalized relational database structures (1NF–3NF). Implemented Python-based machine learning model for retribution revenue prediction.
Web-Based Information System, SD Negeri 173100 Tarutung
June 1, 2026 – Present
Developed a web-based school information system using Laravel and MySQL to digitalize academic administration and replace manual data processing. Built modules for student data management, teacher management, class and subject administration. Implemented grade input and academic report generation features for teachers. Designed and normalized relational database structure (1NF, 2NF, 3NF) to ensure data consistency and integrity. Developed authentication system with role-based access control (Admin and Teacher). Applied MVC architecture to maintain modular, structured, and maintainable codebase. Improved administrative efficiency by transforming manual Excel-based workflows into a centralized web system.
Big Cat Species Classification (CNN)
June 1, 2026 – Present
Built an image classification system using Convolutional Neural Network. Classified big cat species (cheetah, leopard, lion, tiger). Designed CNN architecture with 5 convolution layers, max pooling, and fully connected layers. Resized input images to 180x180 and performed training/validation split. Achieved high classification accuracy through model tuning and regularization. Implemented model testing and evaluation metrics analysis.
Property & Membership Management (Flutter)
June 1, 2026 – Present
Developed Flutter-based application with Firebase and REST API integration. Implemented CRUD functionality and structured UI/UX design. Used Dio for API integration and secure communication. Designed application flow from authentication to data management.
Obesity Risk Prediction Among High School Students in Toba and North Tapanuli
June 1, 2026 – Present
Developed a data-driven machine learning model to predict obesity risk among high school students based on lifestyle patterns and behavioral factors. Conducted data collection, cleaning, and preprocessing from student lifestyle datasets. Performed Exploratory Data Analysis (EDA) to identify correlations between lifestyle variables and obesity risk. Implemented supervised learning models including Logistic Regression and Random Forest for classification. Evaluated model performance using accuracy, confusion matrix, and classification metrics. Applied feature engineering techniques to improve prediction performance. Generated predictive insights to support early prevention strategies and health awareness initiatives.
Homestay & Kost Booking System
June 1, 2026 – Present
Developed a full-featured property booking system using Laravel 11 (Backend API) and Flutter (Frontend). Designed complete database architecture including users, properties, rooms, pricing, facilities, reviews, and administrative regions (province, city, district, subdistrict). Implemented authentication system with hashed passwords and role-based access (tenant, owner, admin, super admin). Built dynamic cascading dropdown system for location filtering using stored procedures. Developed property management system for owners including add, update, delete property and image upload. Integrated Dio in Flutter for secure API communication including token authentication and multipart upload. Implemented booking flow, property search, wishlist, and owner dashboard statistics.
Laravel Web Development – Certification
SanberCode
June 1, 2026 – Present
Intro to Basic Programming- Certification
Dicoding
June 1, 2026 – Present
Introduction to Software Engineering – Certification
Dicoding
June 1, 2026 – Present
Silver Award – National Data Competition (PEDAS 2025)
APTIKOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in academic projects and student organizations (Del Data Science Club, Del Software Development Club) demonstrates a collaborative spirit and a willingness to learn and contribute to a team. The diversity of projects, including web, mobile, and machine learning, indicates adaptability and a broad interest in technology. The focus on practical, problem-solving applications (e.g., village financial data platform, obesity risk prediction) aligns with a results-oriented culture. However, all experience is academic or university-affiliated, so adaptability to a corporate cultural environment needs to be assessed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex systems, manage project scope, and contribute to various stages of development from design to implementation. Participation in student clubs (Data Science, Software Development) suggests a proactive attitude towards learning and collaboration. The experience as a Full Stack Developer at Institut Teknologi Del, though short, shows practical application of skills in a real-world setting. However, the candidate is still an undergraduate, which implies a need for mentorship and structured guidance in a professional environment.