Summary

Work experience

• Platform Engineer (EPMS Manager)

  ZTE (Thailand) Co.,Ltd.

  2025.06-Current

  (3 months)

  Formulated SQL queries and data pipelines to maximize tracking of costs on inventory and employee records. Ordered and updated network material data , as well as enhanced cost analysis reporting. Combined pricing information with centralized inventory so that procurement and planning could be facilitated. Worked with cross-functional teams to provide data integrity between all ERP and inventory programs. Developed a Python RPA tool to auto-fill invoice data to submit it on behalf of the customers through web portal and minimized human error and time spent by the customers. Visualize the inventory costs using Microsoft Power BI.
• Presales Engineer

  SCM Technologies Co.,Ltd.

  2025.03-2025.05

  (3 months)

  Read the TOR documents and find the network switch, router, and NAS storage to fit with the requirements. Analyze the existing network diagram and create the new network diagram to replace core, distribute switch and Nas storage based on the requirements of the customer. Use odoo python framework to manage the sales project and quotation documents. Run the command to collect the configuration information from the core switch. Use the Nutanix sizer to estimate the storage of the customer. Configure and design the diagram of Sangfor HCI 3-node cluster. Create the Bill of materials of each component and analyze the information using Python. Communicated with customers weekly to assess equipment needs, determine system requirements, and offer in-person product training. Experience in selling Extreme Networks switches and present the networking solutions to enterprise clients. Persuade customers to choose extreme network switch instead of the HPE , Aruba , and Cisco switch. Provide the technical network security knowledge such as SASE (Secure Access Service Edge) and ZTNA (Zero Trust Network Access) to the customers. Analyze and forecast the sales data using the Machine learning’s Random Forest model coded with Python to predict the chances of each sales opportunity.
• Image Processing and Machine Learning (Intern)

  AI Center, Asian Institute of Technology (AIT), Thailand

  2021.06-2021.06

Projects

• 2025.12-2025.12

  Projects: Digital Circuits and Logic Design: 7-segment to connect IC (integrated circuit) to all gates. Digital Signal Processing: Speech recognition engine for accent rating application using MATLAB. Microprocessor: Connecting ARM board to computer via putty program using Assembly language (Chatbot in putty). Microprocessor: Creating LED to display last two digits of student’s ID by using STM 32 micro controller and connect STM to computer program. Microprocessor: Control 7-Segment 4 digits module by using GPIOA and GPIOB. Linear Control Systems: On the Toyota XKU project, with MATLAB Simulink I create block diagram and parameters substitution by K (gain). Then calculate the transfer functions of PID controller of electronic throttle control system. Root Locus plotting is also provided. Mobile Communications: Rayleigh and Rician fading BER project is about to find network loss, bit error rate, and plot average signal to loss ratio comparing with error probability with MATLAB. Then calculate the bit error rate of each K value. Principles of Deep learning and Applications: Using CNN to detect pneumonia in the chest by comparing chest x-ray photos. Internet of Things for Electrical Engineering: Creating an automation watering system for plants using ESP8266 board and a DHT11 sensors. Then calculate the average humidity and temperature. Communication Systems and Networks Laboratory: Using putty program to configure IP address of other computers in the network switches and configure a Cisco router with a CCTV camera. Communication Network and Transmission Lines: Perform packet switching on a router and using smith chart to calculate the reflection coefficients in the transmission line. Principles of Communications: Calculate the Fourier transforms on MATLAB program with 10Khz and 50Khz waveforms to find the frequency domain. Computational Finance: Algorithmic trading with MACD techniques using MACD and EMA to predict each stock then calculate the profit and Sharpe ratio. Customer Satisfaction Grading Using Facial Expression (Senior project): Build a machine learning Python code using keras , tensorflow and opencv library to detect facial expression of customers picking up product displayed on the shelf and deploy the model on the html website using RESTAPI and flask.

Educational experience

• Chulalongkorn University

  Master of Electrical Engineering (Telecommunication Engineering)

  2023.01-2025.01

  (2 years)
• Kasetsart University

  Bachelor of Electrical Engineering (Telecommunication Engineering)

  2018.01-2022.01

  (4 years)

Languages

Certificates

Skills