Job type
Business type
Work location
Advertise date
Keyword
  One word Every word
 
Resume data : Code 0006437 Last update : 21 มี.ค. 2568
Firstname : xxxxxxxxxx Lastname : xxxxxxxxxx
Address : xxxxxxxxxx
E-mail : xxxxxxxxxx
Mobile : xxxxxxxxxx
Personal info
  Birth 13 ก.พ. 2544
Gender Male
Status Single
Hihg 174 cm.
Weight 80 kg.
Nationality ไทย
Religion พุทธ
Military status เรียน รด
Job requirements
  Apply for positions
1. เทคโนโลยีสารสนเทศ AI
2. พัฒนาโปรแกรม
Salary requirements 30,000
Place to work
Education
Academic year 2024 From CMKL University
Level ปริญญาโท
Qualification วิศวกรรมศาสตร์มหาบัณฑิต
Subject AI
GPA 3.6
Academic year 2022 From สถาบันเทคโนโลยีสิรินธร มหาวิทยาลัยธรรมศาสตร์
Level ปริญญาตรี
Qualification วิศวกรรมศาสตร์บัณฑิต
Subject คอมพิวเตอร์
GPA 3.5
Work history
Total work experience 5 Year
From January 2023
 to May 2023 		Company name อโกด้าประเทศไทย บจ.
Address - อาคารเซ็นทรัลเวิร์ด
Saraly 25,000
Position Backend developer intern
Duty - Work
Develop APIs and services for Agoda Create data representation from microsoft SQL database which is used for presentation for customer
From 2022
  to January 2023		 Company name
Address -
Saraly -
Position
Duty - Work
From
  to 		Company name
Address -
Saraly
Position
Duty - Work
Training
From December 2022
to January 2023		 Training Institute Botnoi Consulting
Training courses Data Science Essential Course
From
to 		Training Institute
Training courses
From
to 		Training Institute
Training courses
Ability and performance
  Language skills
Language อังกฤษ Speak ดี Read ดี Write ดี
Typing Thai Words / minute
Typing English Words / minute
Driving Car
Have Car

Other talents

Project work
Camera-Based Log System for Human
Physical Distance Tracking in Classroom
Usage of AI and computer vision to detect human
Log the data into web-based application
With scholarship during the
Bachelor degree achieved, I have
experienced in tech industry which
then went to build strong foundation
in Artificial Intelligence to provide
new solution for complex problems.

Geological Inference from Textual Data
using Word Embeddings
Train language model to create word embedding from
geological report and research papers
Use word embedding to pin-point the most related location
to the keyword(In this sample,

Reference




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