Profile Picture
Netipong Sanklar
Sex: Male ♂️
Age: 24 years 10 months 12 days 01:20:33
Please call me "Jay"
I'm Software Developer Luv'in Technology, IT Gadget and all about computer
I like to do photograph, video editing as my hobby.
Educational background
2022 - 2026
🔸B.S. (Information Technology and Digital Communication) @ RMUTT
🔹First Class Honors (GPAX 3.91)
2014 - 2020
🔸Thanyaburi School (Grade 7 - Grade 12)
Contact
Work Experience
May 2026 - Present
🔸Software Engineer at GAMEPLENG Co., Ltd.
July 2025 - October 2025
🔸Frontend Developer Intern at Things Analytic Co., Ltd.
Extra work
🔸Phone Leasing and Ticket Reservation at
🔸Assistant Electrical Engineer at IBS Engineering Co., Ltd.
Skills
Programming
🔸 HTML / CSS / Bootstrap
🔸 Backend : Express.js, Next.js
🔸 Frontend : Angular, React.js, Next.js
🔸 Database : MySQL, Firebase, PostgreSQL (CLI)
Other Skills (included hobby)
🎥 Video Editing : Adobe Premiere Pro, Capcut
📷 Photography : Adobe Lightroom, Adobe Photoshop
History Projects
1Thing | Social Media Website (2023-2024) ↗️
🔸 Used Angular Framework for development and Google Firebase for the database.
🔸 Designed with a minimalist concept, incorporating unique UI elements compared to popular social media platforms.
🔸 Features include essential social media functionality: account system (using Firebase Authentication), feed system (post, like, comment).
Namnuea Feed Store | E-Commerce Website (2024) ↗️
🔸 Focused on front-end development, with UI designs provided by a collaborator.
🔸 Features include account system, shopping cart, checkout for regular users, and management tools for items and orders for super users.
Thingspad (2025) ↗️
🔸 It's my internship project in 4th year of study
🔸 Webchat and Task Management for organization
🔸 It's can make private chats, create chat rooms for any projects and built in task management
🔸 Tech stack : React.js (Frontend), Firebase (Authentication, Firestore), Next.js (Next.js)
[Senior Project] Hand Gesture Controller in Windows using Web Camera (2025-2026)
🔸 Control Mouse and Windows Feature with hand gestures using a web camera.
🔸 Used Python for development, Mediapipe Library for marking hand skeleton and collect as dataset, bring to train with TensorFlow and get model to use for mapping key with Windows Feature (Change Dasktop, Media Controller)