Chayanon Is-saard — Software Engineer

About Me

Software Engineer with nearly 3 years of experience designing, developing, and supporting business-critical applications for manufacturing operations at Fujikura Electronics (Thailand).

Skilled in full-stack development, legacy system modernization, database engineering, and system integration using React, Node.js, Python, Oracle, and PostgreSQL.

Experienced across the entire software development lifecycle — from requirement analysis and solution design to deployment and production support.

3 Years Experience

2+ Major Projects

1 Published Paper

∞ Passion

Skills

Programming

React

Node.js

Python

JavaScript

TypeScript

C# / ASP.NET Web Forms

Database

Oracle (PL/SQL)

PostgreSQL

DevOps & Infra

Linux

Docker

PM2

Jenkins

Source Control & Tools

Git

SVN

Postman

Swagger / OpenAPI

AI Tools & Agents

ChatGPT

Claude

GitHub Copilot

Cursor

Gemini

Codex

Antigravity

Languages

Thai Native

English Intermediate

Experience

Software Engineer

Fujikura Electronics (Thailand) LTD.

2023 — Present

Gather and analyze system requirements for manufacturing applications.
Design and maintain database structures and integrations.
Develop and enhance web and desktop applications across modern and legacy systems.
Troubleshoot production issues and provide ongoing system support.
Collaborate with users and stakeholders throughout the software development lifecycle.

React Node.js Python C# / ASP.NET PostgreSQL Oracle PL/SQL Docker Linux

Education

Bachelor of Science in Computer Science

Silpakorn University, Nakhon Pathom, Thailand

2019 — 2023

Project Highlights

Selected work from Fujikura Electronics and academic research.

Legacy System Migration

Migrated legacy ASP.NET Web Forms applications to a modern web architecture. Converted Oracle PL/SQL to PostgreSQL stored procedures, rebuilt ASPX/VB.NET UIs as React apps, refactored business logic into Node.js REST APIs, and deployed on Linux with Docker.

React Node.js PostgreSQL Docker

Production Inventory Tracking

Real-time stock verification system using barcode and QR code scanning. Replaced paper-based workflows and reduced inventory verification time by over 50%, while improving accuracy and audit compliance through scan-only verification.

Inventory Barcode / QR Real-time

Bank Slip OCR & Classification

Senior project: a deep learning pipeline to classify bank transfer slips and extract structured data via OCR. Published in Journal of Science Ladkrabang, KMITL Vol. 34 No. 2 (2025), pp. 1–15, and presented at the Asia Joint Conference on Computing (AJCC 2023).

Deep Learning OCR Python Published