International Remittance Fee Comparison Platform (12/2025 - 01/2026)

• Technologies: Next.js, React, TypeScript, Tailwind CSS, Supabase (PostgreSQL), Puppeteer, Cheerio, Zod, Vercel, GitHub Actions
• Description: SendFeeCompare is a web application that compares remittance fees and exchange rates across multiple providers for US-Korea money transfers. It provides real-time rate scraping, promotion tracking, and comprehensive cost breakdowns to help users find the most cost-effective transfer option.
• Location: Side Project
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800G Transceiver Production Line Setup Support (10/2025 - 12/2025)

• Technologies: .NET Framework, C#, MSSQL, Vue, echart
• Description: Developed and maintained a production line management interfaces to support the setup and operation of 800G transceiver manufacturing lines. The system provides real-time monitoring of production metrics, equipment status tracking, quality control data collection, and comprehensive dashboards for production analytics.
• Location: Applied Optoelectronics Inc

Financial Assets Management Web Application (09/2025 - 10/2025)

• Technologies: ASP.NET Core 8.0, C#, Entity Framework Core 8, Dapper, PostgreSQL, React, TypeScript, Tailwind CSS, Chart.js, Hangfire, Redis, Serilog
• Description: Asset-Dash is a personal finance web application designed to replace a Google Spreadsheet-based system. It provides a centralized dashboard for net worth tracking, automated portfolio updates, credit card management with reminders, budget and cashflow tracking, and long-term planning with multi-currency (USD/KRW) and multi-language support.
• Location: Side Project
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OMD Planning & Reporting Interface Project (08/2025 - 09/2025)

• Technologies: .NET Framework, C#, MSSQL, Vue, echart
• Description: Developed a planning and reporting interface system for Optical Module Divisiob (OMD). The system enables production planning, resource allocation, and comprehensive reporting capabilities with interactive data visualization to support data-driven decision making.
• Location: Applied Optoelectronics Inc

WMS IQC Interface integreting with SAP (7월)

• Technologies: .NET Framework, C#, MSSQL, Vue, echart
• Description: Developed an interface system to integrate Warehouse Management System (WMS) Incoming Quality Control (IQC) processes with SAP. The system automates the inventory confirmation workflow for incoming materials, enabling seamless data synchronization between WMS and SAP ERP systems.
• Location: Applied Optoelectronics Inc

RealEstate Rental Web Application (03/2025 - 05/2025)

• Technologies: Next.js, React, TypeScript, Tailwind CSS, AWS, Supabase(PostgreSQL)
• Description: Developed a web platform designed to help real estate investors identify and evaluate potential investment properties. The application collects real estate data from external APIs including Zillow and Redfin, and utilizes machine learning models to estimate appropriate rental rates and property values. The platform provides comprehensive property listings with detailed financial metrics, investment analysis tools, search and filtering capabilities based on investment criteria, and predictive analytics to assist investors in making informed investment decisions.
• Location: University of Massachusetts Boston

Professor Search Web Application (09/2024 - 02/2025)

• Technologies: Next.js, React, TypeScript, Tailwind CSS, AWS, Supabase(PostgreSQL)
• Description: Developed a matching platform that connects students seeking research labs with professors looking for students, based on research topics and interests. The application utilizes machine learning clustering techniques to analyze and visualize research interests as graphs, which are then used to facilitate intelligent matching between students and professors with compatible research focuses.
• Location: University of Massachusetts Boston

Malaria Detection using Machine Learning (03/2024 - 05/2024)

• Technologies: Python, TensorFlow, Keras, Scikit-learn
• Description: This project focused on developing machine learning models to classify parasitized and uninfected cells in the malaria dataset. The project was divided into three phases: data selection, model training, fine-tuning, and performance evaluation.
• Location: University of Massachusetts Boston
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Banking Web Applications (01/2024 - 03/2024)

• Technologies: Next.js, TypeScript, Appwrite, Plaid, Dwolla, React Hook Form, Zod, TailwindCSS, Chart.js, ShadCN
• Description: Developed a comprehensive banking web application as a freelance project, integrating advanced features such as ultra-secure SSR authentication, multi-bank account linking using Plaid, and real-time updates across all pages. The application provides users with a detailed overview of their accounts, including total balances, recent transactions, and categorized spending.
• Location: Freelance

Android Car Management App (10/2022 - 12/2022)

• Technologies: Kotlin, Java, Android SDK, Room Database, Firebase, MPAndroidChart
• Description: Developed a car maintenance app to help users track their car maintenance history, set reminders for upcoming maintenance tasks, and view fuel consumption statistics. Key features included login/register functionality using Firebase Authentication, maintenance history management, and statistical visualization using bar charts.
• Location: University of Massachusetts Boston
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Freelance Web Applications (01/2017 - Present)

• Technologies: Various (depending on client requirements), including HTML, CSS, JavaScript (React, TypeScript), Python, Django, PostgreSQL
• Description: Developed various web applications for freelance clients, utilizing different technologies depending on the project requirements. Projects ranged from small personal websites to large-scale enterprise applications.
• Location: Freelance

Mobile Enterprise Application Platform (09/2015 - 10/2016)

• Technologies: C#, .Net Framework, Android, MSSQL
• Description: Developed a mobile enterprise application platform for managing business processes on the go. The platform included features such as workflow management, task assignments, and real-time notifications.
• Location: LG CNS

Kyowon Corp. Edu Web Apps (05/2015 - 08/2015)

• Technologies: JavaScript (AngularJS), HTML5, CSS3 (Sass), Android, iOS
• Description: Created educational a mobile single page application(SPA) for Kyowon Corp., including interactive learning modules and online quizzes. The application aimed to enhance the digital learning experience for students.
• Location: LG CNS

SGP Hotel Check-In App (02/2015 - 04/2015)

• Technologies: Java, Android SDK
• Description: Developed a hotel check-in application for SGP, allowing guests to check in and out of their rooms using their mobile devices. The app also provided information about hotel amenities and local attractions. Implemented features for locking and unlocking doors using Bluetooth communication between smartphones and hotel door locks.
• Location: LG CNS

LG CNS Access Control App (01/2013 - 09/2013)

• Technologies: Java, Android SDK
• Description: Developed an access control application for LG CNS, allowing employees to manage their access rights to different facilities using their mobile devices. The app included features for secure login, access requests, and real-time notifications.
• Location: LG CNS

GS Corp. Meeting Room Management App (10/2014 - 01/2015)

• Technologies: JavaScript (AngularJS), HTML5, CSS3 (Sass), Java, Oracle DB
• Description: Developed an application for managing meeting room bookings at GS Corp. The app allowed employees to reserve rooms, view availability, and manage meeting schedules.
• Location: LG CNS

LG Smart TV App (10/2013 - 09/2014)

• Technologies: JavaScript (enyo.js), HTML5, CSS3
• Description: Developed a smart TV application for LG, providing users with access to streaming services, games, and other interactive content. The app enhanced the overall user experience by integrating various multimedia features.
• Location: LG CNS

LG Electronics Global Logistic System (07/2010 - 09/2013)

• Technologies: Java, Spring Framework, Oracle DB
• Description: Developed and maintained a global logistic system for LG Electronics, streamlining logistics operations across multiple countries. The system handled inventory management, shipment tracking, and warehouse management.
• Location: LG CNS