NGUYỄN
MINH PHÚ
Machine Learning Intern
CONTACT
PHONE:
Email:
****************@*****.***
GitHub:
https://github.com/pepoo20
TECH SKILL:
Good Knowledge of:
• SQL
• TensorFlow
• Pytorch
• Python
• Huggingface (transformers)
• Git
• Linux
SOFT SKILL:
• Time Management
• Communication
• Problem Solving
• Attention to Detail
SUMMARY
I am a motivated and enthusiastic individual seeking a Machine Learning Intern position. As a final-year university student majoring in data science, I possess a solid foundation in machine learning algorithms, statistical analysis, and data manipulation. Currently, I am conducting research on efficient finetuning on LLM (PEFT, especially LoRA). With a strong discipline and a passion for NLP, I am eager to contribute to and enhance my personal growth during the upcoming internship period.
EDUCATION
Bachelor of Data science
University of Science, 08/2020 – Present
GPA:3.47
PAST PROJECTS
Object Detection (YOLOv1)
Construct the model on the paper from scratch.
Pre-Processing data XML file to YOLO bounding boxes.
Deploy the model with FastAPI and free host on render web server
Utilized wandb to monitor experiments, version control, and assess model performance.
https://github.com/pepoo20/Emt_detection_FastAPI
https://wandb.ai/pepoo20/Object-Detection
Bengali Speech Recognition
Filter out flawed data using assessment scores (using NISQAv2) and Similarity Map audio embedding (using Spotlight)
Approach using Wav2vec2CTC model to encode and a LM model to decode
Notebook
CERTIFICATE
Google Analytics Certified-2022