Hi, my name is

Tim Thanaphat

I’m an Engineer, Software Developer, and AWS Cloud enthusiast who loves turning complex data into meaningful insights and building scalable solutions. With a passion for automation, problem-solving, and clean design, I enjoy crafting efficient systems that make life easier. Always curious, always learning—let’s build something awesome!

Skills

Mastery comes with dedication, and I take pride in every step of my learning journey. The more I grow, the more I achieve. 💪

🔌 Programming

  • Python
  • JavaScript/TypeScript
  • SQL
  • Bash/Shell Scripting
  • C/C++/C#

🕸️ Frontend Web Development

  • React.js
  • Next.js
  • Tailwind CSS
  • Bootstrap

🖥️ Backend Web Development

  • Node.js (Express.js)
  • FastAPI
  • Django
  • Flask

🤖 Cloud & DevOps

  • AWS (Lambda, Step Function and stuffs related to ETL)
  • Terraform
  • Kubernetes
  • Docker
  • CI/CD (GitHub Actions)

🤖 Data Engineering & Big Data

  • PySpark
  • Pandas
  • AWS Glue

👨‍💻 Databases

  • PostgreSQL
  • MySQL
  • AuroaDB
  • MongoDB

👨‍💻 Security & Compliance

  • GDPR Compliance
  • IAM
  • OAuth2 / JWT

👍 Miscellaneous

  • Pine Script
  • Financial Data Analysis
  • TensorFlow
  • NLP
  • Microcontroller (Jetson Nano / Raspberry Pi / Arduino)

My Projects

Here are some of the projects I've been passionately working on, each one reflects a part of my journey and growth as a developer.😎

AWS DeepRacer Oct 2020 League Championship

Ranked 17 out of 1,381 in the AWS DeepRacer October 2020 League Championship. Built and trained a reinforcement learning model using AWS SageMaker to navigate a virtual race track with optimized speed and precision.

Web application for visualizing data

Web application for visualizing data

Built a ReactJS single-page application to stream real-time industrial robot data, including robot maps and pose tracking. Enabled the robotics team to quickly generate and update robot maps for new environments, improving efficiency and reducing setup time. Integrated live data feeds for accurate, responsive visualization and enhanced operational workflows.

Keyword spotting detection for activate speech recognition

Developed and implemented machine learning models using CNN, PCA, and unsupervised learning techniques to detect the keyword `Marvin` for activating a chatbot (Google Dialogflow) on Seagate’s industrial mobile robot. Achieved a false alarm rate as low as 0.01%.

Online resume

Online resume

Designed and developed a single-page application to showcase a personal portfolio, highlighting projects, skills, and experience. Focused on clean UI/UX, responsiveness, and performance optimization to ensure accessibility across devices. Implemented using modern web technologies to create a professional online presence and improve personal branding.

Web application for non-programable user to control robot

Developed a platform enabling non-programmers to remotely control and program mobile robots with auto-guiding and mapping functions for navigation to specific points in real-world environments. Collaborated with Dr. Poom Konghuayrob and a team of three robotics students to design, build, and optimize the system for ease of use.

Signal Automation & Real-Time Notification System

Signal Automation & Real-Time Notification System

Developed a custom TradingView indicator to generate trading signals and integrated it with Telegram for real-time notifications to customers. Automated the delivery of actionable insights to enhance client decision-making. Focused on reliability, accuracy, and seamless user experience to support live trading operations effectively.

Let's Connect

Whether it's a collaboration, an opportunity, or just a friendly hello — I'm always open to connect!