Engineer Intern Computer Vision

Nguyen Kim Thach Email: *******.**@*****.***

AI Engineer Intern

Mobile: +84-773-****-**

Address: D1A.3203 Topaz Elite, 232 Ta Quang Buu, HCM, VN Education

•

FPT University Ho Chi Minh, Viet Nam

B.Sc in Artificial Intelligence; GPA: 8.9; Full Tuition Scholarship Sep 2020 - Apr 2024 (expected) Skills Summary

• Languages: Python, C/C++, JavaScript, SQL, JAVA

• Knowledges: NLP, Computer Vision

• Frameworks: Pytorch, Keras

• Tools: Jupyter Notebook, VS Code, GG Colabs, Github Projects

• kmthachner - Named Entity Recognition in NLP (Pytorch, FastAPI): (Published on PyPi) kmthachner is a Python-based product serve API to create a Local Host Server implement Named Entity Recognition task in Natural Language Processing (NLP).

Models are trained on CONLL-2003 Dataset using RNN, LSTM, CNN, GloVe. The pipeline of models is built based on papers listed in Documention directory. For building models, I use Pytorch - An open-source machine learning framework developed by Meta AI. Back-end is built based on FastAPI - A Modern Web Framework For Production.

• Project Github Link:: https://github.com/kmthach/kmthachner Certificates

• High school diploma (GPA: 8.8)

• AI Foundations for Everyone - Coursera

• Introduction to Artificial Intelligence (AI)

• Getting Started with AI using IBM Watson

• Building AI Powered Chatbots Without Programming

• Python For Everybody Specialization - Coursera

• Programming For Everybody

• Python Data Structures

• Using Python to Access Web Data

• Using Databases with Python

• Capstone: Retrieving, Processing, and Visualizing Data with Python

• Computer Communications - Coursera

• Fundamentals of Network Communication

• Peer-to-Peer Protocols and Local Area Networks

• Packet Switching Networks and Algorithms

• TCP/IP and Advanced Topics

Honors and Awards

• Honorable Student of Summer Semester 2022 (8.9/10)

• Excellent Student of Spring Semester 2022 (9.3/10)

• Honorable Student of Fall Semester 2021 (8.5/10)

• Honorable Student of Summer Semester 2021 (8.7/10)

• Second Prize in Binh Thuan Youth Informatics Contests, 2016

Contact this candidate