Reinforcement Learning engineer

NGUYỄN HỮU

NGHĨA

REINFORCEMENT LEARNING

**/**/****

adwetu@r.postjobfree.com

V-Star apartment, Phu Thuan str,

Phu Thuan ward, District 7, HCMC

090*******

h ps://www.linkedin.com/in/nhng

hia98/

©VietCV.io

E D U CATION

COMPUTER SCIENCE

AUT - AUCKLAND UNIVERSITY OF

TECHNOLOGY

S K I L L S

Simulink, Stateflow, Control Design

PIL, LQR, RL, Inverse RL

Isaac Sim, MuJoCo, ML-Agents

Gymnasium, Pe ingZoo, RLLib

Machine learning, Deep learning

Data ETL, SQL & NoSQL

Linux, Docker, Azure, Databricks

Python, MATLAB, Tensorflow, PyTorch

C E R T I F I CATES

TENSORFLOW DEVELOPER

PROFESSIONAL CERTIFICATE

Coursera

REINFORCEMENT LEARNING

SPECIALIZATION

Coursera

SIMULINK FUNDAMENTALS

MathWorks

CONTROL DESIGN WITH SIMULINK

MathWorks

G PA&I E LTS

IELTS 6.0

GPA 3.5/4.0

A B O U T M E

WORK E X P E R I E N C E S

AI Engineer

VTC ACADEMY

7/2021 - 7/2022

Quantum Researcher

IC-IP LAB - SAIGON UNIVERSITY - SGU

7/2022 - Currently

P R O J E C T S

Wav2Lip - Onlinica.com

1/2022 - 7/2022

I have a deep passion for Arti cial Intelligence and, in particular, Reinforcement Learning. I rmly believe that Reinforcement Learning is the key to achieving Arti cial General Intelligence

(AGI) and can surpass human performance, especially in solving complex problems. The potential of Reinforcement Learning is immense, but I am particularly excited about its applications in solving control tasks in IoT devices. In my view, we have already achieved physical convergence in robotics, and the next frontier is building the "brain" to generate optimized actions based on real-time environments. The advantages of controlling robotic technology are boundless and can lead to increased productivity, improved national security, and much more. However, the deployment of AI and reinforcement learning in the real world is currently facing numerous challenges. I am driven to tackle these issues head-on and help shape a future where robotics can replace humans in arduous and perilous tasks

Building a Wav2Lip model which generates pixels corresponding to their audio wave function at that time to mimic lip movements based on those word sounds. VTC AI desires to automatically generate video lectures without recording them in person.

Contact this candidate