Welcome to my space! I'm Phutthabut, a coder, Sci-Fi enthusiast, and a former Data Scientist (yes, really). Now, I'm fully engaged in the role of a Cybersecurity Engineer. It's great to have you here!
This is me with a really cool blonde hair!
Hey, if using my real name feels a bit awkward, feel free to go with Pete—that's the nickname I use with my international pals. But heads up, my local crew in Thailand knows me as Plug. It might sound quirky, but that's the norm here, haha!
Education and Workshops
Me when participated in Hackathon 😂
Graduated from King Mongkut's University of Technology North Bangkok with a Bachelor of Computer Science degree. I have a strong background in software engineering, with expertise in JavaScript, Python, Git, and Agile methodologies. I am also knowledgeable in AI/ML and have experience with TensorFlow and Keras.
One of my passions is Virtual Reality technologies. I find it fascinating to explore and develop applications that enhance the user's experience in a simulated environment. In my free time, I also enjoy playing basketball and watching boxing matches. I have an interest in sport cars and enjoy reading about the latest developments in the automotive industry. I am also a big fan of chess and poker, as I find them to be great mental exercises that help me improve my critical thinking skills.
Experiences
[2025] Software Engineer at Big Data Institute (Public Organization)
[2024] Cyber Security Engineer at GMO-Z Security Thailand Co.,Ltd.
Conducting risk assessments, crafting robust security policies, configuring and monitoring tools, and swiftly responding to incidents. Collaborating with diverse teams to fortify security posture and stay ahead of evolving threats
[2023] Data Scientist at EGG Digital Co.,Ltd.
Apply advanced statistical techniques and machine learning algorithms to uncover valuable insights from the retail data. By leveraging my expertise in data analysis and PySpark, I contribute to the development of data-driven marketing strategies that optimize customer targeting and maximize revenue growth.
[Jun 2022 - Dec 2022] Co-Operative Data Scientist Intern at Ever Medical Technology Co., Ltd.
Developed the project call "Deep Learning for Sign Language Recognition and Translation," and it's about to create a Deep Learning model that can recognize Thai Sign Language (each country has different Sign Language gestures) in terms of Medical Health. My method is to map the key points of the face, pose, and two hands to a Numpy array sequence, then feed it to the LSTMs model to classify which sequence belongs to which class. Deploy this model as an API with FastAPI and build a web-based application with Streamlit.
