📌 About Me

I’m enthusiastic about leveraging technology to solve interesting problems. My journey in IT has allowed me to gain experience in various fields, from developing web applications to exploring the intricacies of AI. I’ve also had the opportunity to participate in AI and Web development contests and hackathons, with some success. My goal is to contribute meaningfully to the fields of Artificial Intelligence or Data Science.

💼 Experience

• AI Research Intern - IEC Research Group (Aug 2024 - Present)
  • Conducting research on Layer Attack techniques in Model AI Security, including Bit-flip attack and Dropout attack.
  • Authoring a research paper for submission to a conference.
  • Guiding and assisting students in writing papers and pursuing new research directions focused on model inversion and machine unlearning.
• AI Researcher on Rumor Detection - IEC Research Group (Jan 2023 - Aug 2024)
  • Conducted research on Rumor Detection, reviewing literature and implementing state-of-the-art approaches.
  • Developed a novel trend model using Graph Neural Network (GNN) for improved accuracy and robustness in rumor detection.
  • Collaborated to validate model performance, analyze results, and refine the approach.
  • Currently preparing a research paper for publication in a reputable venue.
• Teaching Assistant - MindX Technology School (Jun 2022 - Apr 2023)
  • Assisted classes of 7+ students, developing teaching and game programming skills.
  • Technologies used: Scratch, Gamemaker Studio.
  • Supported the main teacher with instruction, grading, and lab exercises.
  • Helped 15 students achieve excellent results.
• Ruby on Rails Developer Intern - Voyager IT Inc. (Nov 2022 - Jan 2023)
  • Worked as a Web Developer Intern on company web projects.
  • Technologies used: Ruby on Rails, Reactjs, PostgreSQL, and Docker.
  • Developed Rails APIs and project documentation.
  • Built templates for Ruby + Postgres + Docker + Nginx.
  • Developed SNS Login and Authentication projects.
  • Participated in technology presentations.
  • Learned new stacks like Reactjs and FastAPI.

🎓 Education

• BSc in Artificial Intelligence - University of Science - VNUHCM
  • GPA: 9.11/10 (last updated on 23 Dec 2024)
  • Won a school scholarship for multiple semesters

🛠 Skills

• Programming Languages: Python, Ruby, C++, SQL.
• Machine Learning: Experienced in developing and implementing supervised and unsupervised learning algorithms with libraries like Scikit-learn, NumPy, and Pandas.
• Deep Learning: Designed and trained Deep Neural Networks using TensorFlow and PyTorch.
• Natural Language Processing: Proficient in text classification, sentiment analysis, machine translation, auto-correct, RAG, and chatbot development.
• Computer Vision: Knowledge of image and video processing, including object detection, segmentation, and basic tracking using OpenCV (C++ and Python).
• Software: Ruby on Rails, Bootstrap, FastAPI, Flask, Docker, and related technologies.

🔬 Projects

• Rumor Detection Based on Graph Neural Network (Research): Researcher.
  • Conducted research on Rumor Detection and Source Rumor Detection.
  • Proficient in data processing and research paper analysis.
  • Built models for Rumor Detection and Early Rumor Detection using semantic text and temporal propagation features.
  • Manuscript in preparation: “MTIS: A Multiview Framework for Rumor Detection Using Temporal, Interactive, and Semantic Features” (Intended for Future Generation Computer Systems).
• Image Transform Web (Computer Vision): Web Developer.
  • Website for image color changes, shape creation, smoothing, and edge detection.
  • Technologies: Python, Flask.
  • GitHub: https://github.com/Trunkg0d/Image_Transform_Web
• Tool to Identify Text Similarities in Local Corpus (Natural Language Processing): AI Engineer and Team Leader.
  • Developed a tool to identify similar sentences in a text corpus, with similarity highlighting and percentage display.
  • Implemented using Siamese Network Model and fine-tuning pretrained models.
  • Technologies: Python, PyTorch, Hugging Face model, Streamlit, PyQT5.
  • GitHub: https://github.com/Trunkg0d/Text_Similarities_Tool
• Voyager E-Commerce Web (Software): Fullstack developer for an online shoe-shopping site (internship project).
  • Technologies: Ruby on Rails (Backend), HTML, CSS, Bootstrap (Frontend), Docker (setup/deployment to Heroku).
  • GitHub: https://github.com/Trunkg0d/Voyager-shopping-cart

📜 Certifications

• Specialization in Natural Language Processing (4 courses) - Coursera
• Getting started with TensorFlow 2 - Coursera
• Python Project for Data Science - Coursera
• Data Analysis with Python - Coursera
• Ruby on Rails Training Course - Voyager IT Inc.

🌍 Languages

• English (Toeic certificate in 4 skills)
• Vietnamese (Native)

💡 Thank you for visiting my blog! I hope you find valuable insights, research, and projects here. Feel free to explore and connect with me! 🚀