Machine Learning Ai Engineer

THAI HOA TRAN

Fresher AI Engineer

Thu Duc, Vietnam

tranthaihoa gmail.com

https://github.com/TTHHA

/in/tran-thai-hoa

SUMMARY

As an ambitious AI Engineer, I possess a solid grounding in machine learning and deep learning frameworks. My expertise is underpinned by a proven capacity to engineer and deploy sophisticated AI solutions, primarily using industry-standard technologies such as Python, PyTorch, and TensorFlow. Driven by a passion for innovation and a desire to solve practical problems, I am committed to contributing my skills to groundbreaking projects. My goal is to deepen my practical knowledge and to actively participate in the development of AI applications that address and solve real-world challenges.

SKILLS

Programming: SQL, Python, C++

Software: Air ow, PostgreSQl

Technologies: AWS, GCP, Pytorch, TensorFlow, Docker, FastAPI, Git, Sci-kit Learn

Languages: Vietnamese, English

Others: Problem solving, Adaptability, Communi-

cation Skills, Teamwork and Collaboration,

Critical Thinking

PROJECTS

An automated Fact-Checking App Website

• Successfully trained and ne-tuned a Gemma LLMmodeltoaccuratelypredictfact-checking task, enhanc- ing system e ciency and precision by Successfully deployed the system as a user-friendly website, enabling widespread access to reliable information.

• Utilized AWS, PyTorch, Air ow, FastAPI, PostgreSQL, ChromaDB, and Docker.

ViMATH: A high school-level mathematical reasoning benchmark for Vietnamese language.

• Developed ViMATH, a pioneering benchmark dataset comprising validated high school-level mathe- matical problems for evaluating LLM reasoning capabilities in Vietnamese.

• Demonstrated signi cant performance improvements across various mathematical domains through the im- plementation of Chain-of-Thought (CoT) prompting techniques and optimizing performance on resource- constrained hardware using LoRA.

• Utilized Python, PyTorch, Transformers, and various LLMs (Gemma, Mistral, Qwen, Phi- ).

A model for predicting Human Development Index and clustering viable provinces in Vietnam github.com

• Developed a model to predict the Human Development Index (HDI) and cluster livable provinces in Vietnam using statistical data from to encompassing health, security, economy, and average income factors. Collected and standardized data from the General Statistics O ce of Vietnam, employing regression and clustering algorithms for model development.

• Leveraged Scikit-learn, TensorFlow, Tableau, and Seaborn. EDUCATION

- present University of Information Technology - VNUHCM Ho Chi Minh City

• GPA: - Bachelor of Data Science

PUBLICATION

MAPR ViNSV at UIT Data Science Challenge Advancing Vietnamese Fact Extraction and Veri cation through Multi-Stage Text Ranking Publised here

AAAI ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Viet- namese Preprint available here.

ACHIEVEMENTS

st place in ISE SPARK OF IDEAS FALL

rd & th Place (Groups A & B) - UIT Data Science Challenge

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