Machine Learning Information Technology

LE DI HAO AI DEVELOPER

** **** ***** ***** ******, Hung Loi ward, Ninh Kieu district, Can Tho City

*********@*****.*** https://github.com/Haole3435 034******* EDUCATION

Can Tho University 2020 - 2024

Bachelor of Information Technology

INTRODUCING

I am Lê Dĩ Hào, a dedicated and enthusiastic computer science graduate with strong skills in pro- gramming, machine learning, and deep learning.

KNOWLEDGE

Programming Languages: Python, GoLang, Java.

Framework: Pytorch.

Database Management Systems: MySQL, MariaDB, Oracle, PostgreSQL.

Development Tools: Docker, Github, Gitlab.

Machine Learning: Support Vector Machines (SVM), Naive Bayes, Decision Trees, Neural Networks.

Computer Vision: CNN, ViT, YOLO, GAN, Stable Diffusion Models.

NLP/LLM: BERT, Transformers, Langchain.

Parallel Computing: Multithread, Multiprocessing, Accelerator, Pytorch DistributedDataParallel, Pytorch DataParallel.

Testing APIs Tools: Postman.

Deployment: FastAPI.

Soft Skills: Able to communicate and write in English, Logical thinking, Creative, Punctual at Work, Enthusiastic in work.

EXPERIENCE

Keri Software Solution Company 12 distrct, Ho Chi Minh city Software Engineer Intern April 2024

Writing back-end code and design the database for the website.

Testing APIs before implements

Illuminous AI Company Binh Thanh district, Ho Chi Minh city AI Engineer Intern May 2024 – October 2024

Research and developed for projects.

Crawl data and processing data for projects

Contributing models in projects

Prompting, Testing models

PROJECTS

Heart Disease Prediction April 2023 - June 2023

Description: Developed a machine learning model to predict heart disease risk.

Technologies Used: Scikit-learn,Decision Trees, Logistic Regression.

Achievements: Reached 90% accuracy in risk prediction. Hand Gesture Volume Control August 2023 – September 2023

Description: Created a tool that uses hand gestures to control audio volume in real-time.

Technologies Used: PyTorch, OpenCV, Mediapip.

Achievements: Enabled intuitive, gesture-based volume control. Virtual Try-On Using Diffusion Models August 2024 – October 2024

Description: Built a virtual try-on platform that generates images of clothing items on users.

Technologies Used: Pytorch, Diffusion Model, GAN.

Achievements: Provided realistic, high-quality virtual try-ons. PARTICIPATE IN SCIENTIFIC RESEARCH

Posture Detection System Using Deep Learning April 2024 - October 2024

Description: Developed a system using YOLO5 to detect incorrect sitting postures in real-time

Technologies Used: YOLO, OpenCV, Pytorch.

Achievements: Achieved 95t% accuracy and provided ergonomic alerts.

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