I am a recent Master's graduate with a degree in Management of Information Technology and a passion for programming. I am proficient in JavaScript, Python, HTML, and CSS. I am dedicated to continuously learning and developing new skills.
Contact :
Address : 25/1 Moo 5, Takhienthong Subdistrict, Kanchanadit District, Surat Thani Province
Skills
Languages :
Python
PHP
Javascript
Typescript
Lua
Html
CSS
Solidity
NodeJS
Frameworks :
ExpressJS
NextJS
Angular
Frameworks CSS :
Tailwind
Bootstrap
Material UI
Database :
Mysql
Postgresql
MongoDB
Tools :
Docker
VSCode
NetBeans
Jupyter
Xampp
GitHub
Figma
Postman
Education
Suratthani Rajabhat University
Information TechnologyBachelor's Degree2016 - 2020
Walailak University
Management of Information TechnologyMaster's Degree2020 - 2023Experience
Restaurant recommendation system
Suratthani Rajabhat University2018 - 2019
This graduation project is to develop a web application that helps restaurants to mark their locations on a map and present their menus and various promotions. This allows consumers to know which areas have restaurants and to rate or comment on those restaurantsIT Asset Management System
TUENJAI PANIT GROUP CO. LTD2019
During my internship at TUENJAI PANIT GROUP CO. LTD. , I developed a web application for managing IT assets. This application allows the company to track IT assets such as computers and cctv, and to see which department or branch they are located in. It also includes a map showing over 120 branches nationwide, and can calculate the distance and estimated travel time between branches.Network Asset Management System
TUENJAI PANIT GROUP CO. LTD2019
During my internship at TUENJAI PANIT GROUP CO. LTD. , I developed a web application for managing servers. This application helps the company track servers in use, as well as servers that are faulty and have been sent for repair.Web Application Developer Tutor
Freelance2020 - 2022
Freelance tutoring for undergraduate students in basic PHP, SQL, HTML, and CSS, empowering them to explore and develop on their own.Security Enhancement in Smart Logistics with Blockchain Technology: A Home Delivery Use Case
Walailak University2020 - 2022
AbstractHome delivery (B2C) experienced rapid growth during the COVID-19 pandemic, especially food delivery. Nonrepudiation is a problem in security and affects delivery. Blockchain technology is a new technology that addresses this issue. This paper proposes preventing nonrepudiation in home delivery through blockchain technology. We also design a data structure and smart contract for distributed application. In addition, we evaluate the performance of the proposed framework in terms of transaction fees and response times. We experimented on the blockchain emulator, stored data in RDBMS, and implemented a client with a mobile application. The data in the smart contract were directly impacted by the gas used and the response time. Primarily, the function processes the large data size and involves high transaction fees and long response times. The gas used accounts for 9061 times of data length, while the response time accounts for 2.84 times of data length. Finally, we propose a security policy for the proposed framework.Link PaperTransaction Fees Minimization in Blockchain-Based Home Delivery System
Walailak University2022 - 2023
AbstractThis study investigates the impact of Zlib compression on gas consumption within blockchain systems, focusing particularly on Ethereum transactions. By employing the Ethereum simulator Ganache, we simulate 100 realistic home delivery system datasets to evaluate the performance of compressed versus uncompressed data. The methodology encompasses rigorous statistical analysis to ensure robust results. Our findings reveal that using the Zlib algorithm to compress textual data exceeding 141 bytes before submitting transactions on the Ethereum network reduces the gasUsed while maintaining the system time unchanged. This demonstrates the effectiveness of data compression in optimizing transaction costs without affecting operational efficiency. Additionally, our research extends to analyzing real gasPrice trends on the Ethereum network. We propose a non-linear regression model that accurately predicts hourly gasPrice variations based on the day of the week and the specific time. This provides a valuable tool for users to plan transactions strategically. These insights enhance the understanding of blockchain dynamics and offer practical solutions for improving economic and system efficiency in blockchain operations.Link Paper
