Machine Learning · Computer Vision · NLP
Building practical AI systems with a research-first mindset.
I’m Bhuribhat Ratanasanguanvongs, a master's degree student focused on machine learning, computer vision, and large language model workflows. I like turning technical problems into clear, reliable systems that are easy to understand, validate, and ship.
Current focus
LLM fine-tuning and RAG
Experience
ML, CV, research, deployment
About
Research-driven, product-minded, and detail-oriented.
I’m a master's degree student with hands-on experience in machine learning, computer vision, and applied NLP. My work style is grounded in experimentation, but always tied to practical outcomes that make the result easier to trust and use.
I enjoy taking ideas from research through prototyping and implementation, then refining them into polished, dependable systems. Across academic projects, internships, and thesis work, I’ve contributed to data preparation, model development, evaluation, and delivery.
I’m especially interested in applied AI that solves real problems well: models with clear behavior, interfaces that feel usable, and engineering decisions that hold up in production or research settings.
Education
Chulalongkorn University
Core areas
ML, CV, NLP, RAG
Working style
Analytical, practical, collaborative
Strengths
Core strengths at a glance.
Machine learning
Scikit-learn, TensorFlow, PyTorch, NumPy, and Pandas for practical model work.
Computer vision
OpenCV, segmentation, detection, and multimodal prototyping.
LLM applications
RAG pipelines, domain chatbots, and fine-tuning workflows for real use cases.
Tools and delivery
AWS, Docker, Git, MySQL, MongoDB, and Power BI for usable systems.
Experience
Work experience.
IntelliExo - Master's Degree Thesis
Conducted thesis research using OpenClaw and NemoClaw, Coordinated research progress reports with the NVIDIA Singapore team.
- Research and exploratory analysis
- Experimentation, iteration, and review
- Presentation and manuscript support
Fastwork.co
Delivered 50+ freelance projects in Machine Learning and Data Science for academic and industry clients.
- Developed predictive models across multiple domains
- Built end-to-end ML pipelines for data processing, model training, and evaluation
- Designed interactive AI dashboards using Streamlit and Docker-based deployment
- Provided mentoring and technical consulting for undergraduate, master’s, and industry clients
Chulalongkorn University
- Teaching Assistant for Introduction to Data Science and Data Engineering
- Teaching Assistant for Data Science and Data Engineering Tools
- Teaching Assistant for Introduction to Data Science and Big Data
Agnos Health
Applied machine learning and data workflows to support practical healthcare-oriented solutions.
- Developed a predictive model using XGBoost regressor
- Implemented a recommender system algorithm
- Utilized Metabase dashboard
- Leveraged PostgreSQL to analyze data
Reliable Domain-Specific Chatbot for Thai Language
Built a domain chatbot with LLMs, LangChain, RAG, and LINE deployment.
- LLM application design
- RAG implementation
- Fine-tuning dataset preparation
- Utilize HPC for finetuning LLMs
Bit.studio Internship
Contributed to pose estimation, ASL fingerspelling, and video generation exploration.
- YOLO-based pose estimation
- ASL fingerspelling work
- Video generation experimentation
Projects
Interesting projects.
Contact