TBTrinh Tran To Bang
@trinhtrantobang
Machine Learning Engineer passionate about solving real-world challenges.
VietnamWhat I'm looking for
I am a Machine Learning Engineer with a strong foundation in computer science, currently pursuing my Bachelor of Science at Viet Nam National University. My GPA of 3.85 reflects my dedication to mastering the intricacies of machine learning and deep learning. I thrive in dynamic environments where I can collaborate with talented colleagues to drive innovation and deliver impactful results.
In my current role as an AI Engineer at CTMedtech, I developed a machine learning model to predict biological age using blood test biomarkers. I also built an Agentic RAG system with LangChain to enhance LLM capabilities for medical tasks. My internship at ARKAI Lab allowed me to explore machine unlearning methods, where I proposed an evaluation method leveraging adversarial attacks to assess algorithm robustness.
My experience extends to data science, where I conducted exploratory data analysis at Zalo and worked on deep learning projects at Bosch Global Software Technologies. I am eager to leverage my skills in a professional setting that values innovation and collaboration.
Experience
Work history, roles, and key accomplishments
Research Intern
Indiana University
Sep 2024 - Present (10 months)
Studied towards machine unlearning methods on LLM. Proposed an evaluation method leveraging adversarial attacks and OpenAI API to rigorously assess unlearning algorithm robustness into paper. Carried out experiments to fine-tune and unlearn LLM with HuggingFace and accelerates with DeepSpeed, LoRA, Quantization.
AI Engineer
CTMedtech
Oct 2024 - Present (9 months)
Developed a Machine Learning model to predict biological age for individual organ systems using blood test biomarkers. Built an Agentic RAG system using LangChain to extract insights from medical books and enhance LLM capabilities for various medical-related tasks and deploy to API via FastAPI. Utilized Docling and MinerU to convert PDF books into structured Markdown and JSON formats with metadata
Data Science Fresher
Zalo
May 2024 - Aug 2024 (3 months)
Conducted exploratory data analysis (EDA) on song features to assess feature importance. Experimented with Word2Vec, Transformer-based models, and DeepWalks to develop embeddings for song recommendation. Utilized PaddleOCR for text detection and VietOCR for text recognition to extract song names from thumbnails.
AI Engineer Intern
Bosch Global Software Technologies Vietnam
Apr 2023 - Oct 2023 (6 months)
Learnt and practiced Deep Learning skills in the field of Video Processing. Worked individually on projects involving Hand Gesture Recognition with Ego-centric viewpoint. Presented findings and recommendations to enhance performance of the model to the team.
Education
Degrees, certifications, and relevant coursework
Viet Nam National University - Ho Chi Minh University of Science, VNU-HCMUS
Bachelor of Science, Computer Science
Grade: 3.85/4.0
Completed a Bachelor of Science in Computer Science (APCS) with a strong academic record. Focused on advanced topics within computer science, achieving a high GPA.
Availability
Location
VietnamAuthorized to work in
Job categories
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