📱 Phone: (862) 579‑6543
- 🎓 AI & Machine Learning student
- 🤖 Focus: Computer Vision, Machine Learning, Deep Learning, Large Language Models
- 💾 Love building: AI agents, automation tools, penetration-testing tools
- 🌎 Based in Madison, New Jersey, USA
- 📚 Always learning, improving, and experimenting
Drew University — Madison, NJ
- B.S. Computer Science, Minor Data Science — GPA: 3.7 / 4.0
- Expected Graduation: May 2027
- Merit Scholarship $15,000 (Fall 2025 – Spring 2026)
- Key Courses: Artificial Intelligence, Data Science, Software Engineering, Database Systems and Management
- Aug 2025 – Oct 2025
- Real-time face detection & recognition using OpenCV + Haar Cascade, >95% accuracy
- Webcam + image + video input, optimized processing (~25% latency reduction)
- Github: https://github.com/NguyenTin2026/Mini-Project-Computer-Vision-in-Deep-Learning.git
- Aug 2024 – Sep 2024
- Built APIs with FastAPI, tested with Postman
- Source control via Git, GitHub, Bitbucket
- Bitbucket: https://bitbucket.org/tintin_2026/workspace/overview/
- Jun 2023 – Feb 2024
- Analysis with Pandas, NumPy, Matplotlib, queried with PostgreSQL
- Titanic survival prediction (~85% accuracy) using Logistic Regression & Random Forest
- Github: https://github.com/NguyenTin2026/Data-Science-Tutorial-Step-By-Step-.git
- Aug 2025 – Present
- YOLOv5 + OpenCV real-time object detection
- Data cleaning & visualization with Pandas, Seaborn, Matplotlib
- Github: https://github.com/NguyenTin2026/Mini-Project-Computer-Vision-in-Deep-Learning.git
- Oct 2025 – Present
- Built a full Streamlit Web Application for generating and viewing Curriculum Vitae (CV)
- Developed using Python and multiple Python libraries
- Deployed successfully on Streamlit Cloud
- Public users can access and interact with all CV features
- Live App: https://app-tutorial-buiding-cv-tintin.streamlit.app/
- Oct 2025 – Present
- Applied data cleaning and preprocessing to handle missing values and outliers
- Engineered meaningful features (e.g., family size, title extraction) to improve model performance
- Built and evaluated machine learning models including Logistic Regression and Random Forest
- Achieved ~85% prediction accuracy on test data, demonstrating effective survival prediction
- Visualized dataset insights using Pandas, Matplotlib, Seaborn for data-driven interpretation
- LinkedIn: https://www.linkedin.com/in/nguyen-tin-tin-do/
- Founder & Volunteer English Instructor (May 2023 – May 2025)
- Created 2 free English platforms on Facebook, 900+ followers
- Tutoring English & Math, mentoring weekly
- Social Media Content Creator (Jan 2021 – May 2025)
- Managed TikTok (22K followers, 2M+ views), Instagram, Facebook
- Produced multimedia content, increased average view duration +25%
Programming & Data Science:
Libraries & Frameworks:
DevOps & Cloud:
Development Environments:
| Project | Description | Demo / Repo |
|---|---|---|
| Face Recognition | Real-time face detection + recognition using OpenCV & Haar Cascade | Repo |
| API Testing & Backend | REST API using FastAPI, version control via Git | Repo |
| Data Analysis / Titanic | Feature engineering, logistic regression, random forest (~85% accuracy) | Repo |
| Object Detection (YOLOv5) | Real-time object detection with YOLOv5 + OpenCV | Repo |
- 🔭 Currently learning LangChain, MediaChain, advanced MLOps
- 🌱 Expanding into Generative AI, Web3 / Blockchain AI
- 👯 Open to collaboration on AI automation, production AI, open-source projects
- 💡 Plan to blog technical tutorials on Medium / Dev.to
- Real-world ML project experience, deployed solutions
- Creative & technical skills: content creation + coding
- Always ready to collaborate, mentor, or co-develop AI/Data Science/Web3 projects
Thank you for stopping by! Feel free to check out my repos, open issues, or reach out to collaborate! 😊