Initializing Portfolio
Reinaldy Hutapea
Hello, I'm
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Reinaldy Hutapea

I'm a Information Systems Student
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Passionate about Front-End Development, Machine Learning, and Full-Stack Development. Currently pursuing Information Systems at Del Institute of Technology.

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About Me

Passionate learner and problem solver

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Education

Information Systems at Del Institute of Technology

3.51 /4.00
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Experience

ML Engineer at PT. Indonesia AirAsia

Mobile Developer at PT. Suzuki Finance

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Leadership

Head of Science & Technology Department

Organizing seminars for 500+ students

My Journey

I'm an Information Systems student at Del Institute of Technology with a deep passion for technology and innovation. My journey in tech started with curiosity about how data can drive meaningful insights and has evolved into expertise in machine learning, computer vision, and full-stack development.

Throughout my academic and professional journey, I've had the opportunity to work on impactful projects, from developing computer vision systems that achieved 95% accuracy to creating comprehensive business intelligence dashboards.

Machine Learning Computer Vision Data Science Full-Stack Development Mobile Development Business Intelligence

Experience

Professional journey and growth

Mobile Developer Intern

PT. Suzuki Finance Indonesia

Jun 2025 - Aug 2025

Developed responsive mobile UI components for SMILE module in SUFI ONE project using Flutter and Dart, creating intuitive cross-platform user interfaces that enhanced user engagement by implementing modern Material Design principles and custom widgets.

Built dynamic reporting interfaces with RDLC integration, designing interactive dashboards with real-time data visualization and user-friendly navigation, enabling seamless user interaction with complex financial data.

Collaborated in Agile development cycles with focus on front-end integration, conducting UI/UX code reviews, implementing responsive design patterns, and maintaining clean, reusable component architecture for optimal user experience.

Flutter Dart Laravel PHP

Machine Learning Engineer Intern

PT. Indonesia AirAsia

Aug 2024 - Jan 2025

Designed and implemented interactive web interface for automated invoice processing system, creating intuitive user workflows that reduced document processing time by 78% through streamlined UI design and optimized user interactions, improving user productivity from 3 minutes to under 60 seconds per document.

Developed automate-integrated front-end framework using modern Google Appscript to create seamless document upload interfaces, implementing drag-and-drop functionality, progress indicators, and real-time status updates for enhanced user experience.

Built responsive data validation interface with automated feedback systems using regex and fuzzy matching, implementing real time form validation, error handling, and visual feedback components that improved decision-making efficiency for financial teams by 95%.

95% Accuracy
78% Time Reduction
10K+ Monthly Processing
Python OpenCV PaddleOCR Streamlit

Information System Developer

Deltizen Corner

Jan 2025 - May 2025

Developed responsive web-based ordering interface using Laravel with modern UI/UX design, reducing order processing time by 85% (from 30 minutes to 5 minutes) through intuitive user workflows, streamlined navigation, and mobile-first responsive design that achieved user satisfaction

Designed comprehensive admin management interface with real-time updates functionality, implementing dynamic menu management systems with drag-and-drop interfaces, reducing menu modification time by 90% through optimized user experience and efficient component design.

Built customer-facing web application with responsive design principles, featuring real-time order tracking, automated status updates, and integrated payment interfaces (QRIS), creating seamless user journeys that improved customer satisfaction and operational efficiency.

Web Development QRIS Payment Real-time System

Head of Science & Technology Dept.

Del Institute of Technology

2023 - Present

Organized technology-focused events with emphasis on creating engaging user experiences, designing interactive seminar formats and workshop interfaces that increased student engagement with science and technology topics

Coordinated high-impact events (Seminar PRE PKM, PKM, Goes to School) for 500+ students, implementing user-centered event design and intuitive registration systems that improved participant satisfaction and engagement rates

500+ Students
2 Seminars
50+ Mentored

Featured Projects

Building solutions that make a difference

OCR System
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Computer Vision • AI/ML

OCR for Fuel Reconciliation

Advanced computer vision system leveraging PaddleOCR and OpenCV for automated invoice processing.

95% Accuracy
78% Time Reduction
10K+ Monthly Processing
Python OpenCV PaddleOCR Streamlit
Mobile App
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Mobile Development

SUFI ONE Mobile App

Cross-platform mobile application with clean architecture and intuitive UX.

Flutter Dart Firebase
Front-End Developer
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Front-End Developer

Deltizen Corner Website

Developed responsive web-based ordering interface using Laravel with modern UI/UX design, reducing order processing time by 85% (from 30 minutes to 5 minutes) through intuitive user workflows, streamlined navigation, and mobile-first responsive design that achieved user satisfaction.

Laravel PHP UI/UX
BI Dashboard
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Business Intelligence

DWBI Interactive Dashboard

Developed interactive dashboard for visualizing student admission trends at Institut Teknologi Del for academic year 2023-2024, creating comprehensive data visualization interfaces with dynamic filtering capabilities for program studies, applicant numbers, and admission status tracking on Tableau.

Implemented Extract, Transform, and Load (ETL) processes to integrate and cleanse admission data from multiple sources, designing automated data pipeline workflows that improved data processing efficiency and ensured data quality for analytical purposes.

Tableau Excel SQL
Mental Health ML
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Machine Learning

Mental Health Prediction ML

Developed end-to-end web application for mental health prediction using Flask backend and responsive HTML/CSS frontend, creating intuitive user input forms and real-time prediction interfaces that achieved 93.90% model accuracy with XGBoost algorithm.

Designed interactive prediction interface with user-friendly form validation and styled components, implementing seamless user workflows for depression risk assessment with clear visual feedback and result presentation.

Built comprehensive data visualization dashboard using Python libraries, creating responsive charts and correlation matrices that transformed complex mental health survey data into actionable insights for healthcare stakeholders.

Python Scikit-learn Pandas
Data Mining/Data Analytics
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Data Mining/Data Analytics

Sentiment Analysis Using E-WOM Method for Tourist Behaviour in Toba Regency.

Developed data visualization interfaces for sentiment analysis across 15 tourist destinations, creating interactive dashboards that presented complex tourist behavior patterns through intuitive charts and user-friendly data exploration tools.

Implemented web scraping interfaces using Python with BeautifulSoup and Scrapy, designing automated data collection workflows with progress tracking and error handling interfaces for Google Maps review data.

Python Web Scraping Analytics
Tableau Dashboard
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Data Analytics

Tableau Dashboard

Designed interactive Tableau dashboard for Netflix content analysis, creating responsive data visualization interface with dynamic filtering capabilities for 8,000+ content entries, implementing intuitive user controls for content type, rating, and release year filtering

Developed user-centric data presentation with clean visual hierarchy and modern design principles, creating engaging charts and graphs that improved data-driven decision making for content strategy analysis.

Python Excel Tableau

Skills & Technologies

Tools and technologies I work with

Programming Languages

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Python

80%
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PHP

85%
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Java

78%
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Dart

88%

Frameworks & Libraries

🔥

Laravel

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Flutter

✨

Flask

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TensorFlow

Data & Analytics

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Tableau

Intermediate
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Machine Learning

Intermediate
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Computer Vision

Intermediate

Let's Connect

Ready to collaborate on your next project

Get in Touch

I'm always excited to discuss new opportunities and innovative projects.

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Email

reinaldyhutapea@gmail.com
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Phone

+62 822-4693-3771
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LinkedIn

Connect with me
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Location

Toba, North Sumatra, Indonesia

Send a Message

Let's start a conversation