Hi, I am Kouider.

Ph.D candidate in computer science.

Ph.D candidate in computer science with focus on MLOps.

Contact Me

About Me

Introduction
My favorite books of all time

Immersed in a Computer Science Ph.D. program at the University of Galway, delving into the intricacies of MLOps, I've built upon a solid foundation in Mechatronics acquired at UTM Malaysia. My passion extends across robotics, AI, machine learning, nonlinear control, and software. Fueled by a relentless pursuit of knowledge and a knack for problem-solving, I approach tasks with meticulous attention and strong organizational skills, consistently enhancing productivity. My overarching objective? To make a significant imprint in the realm of tech R&D. The rapid-paced academic journey has honed my skills, solidifying my commitment to leaving a lasting impact in the ever-evolving tech landscape.

01 Years'
Experience
2 Projects
Completed
00 Papers
Published

Skills

Technical Competence

System Codes

Matlab

Advanced

Simulink

Advanced

Cloud Platforms

Azure

Beginner

AWS

Beginner

GCP

Beginner

Programming Codes

Python

Proficient

Java

Intermediate

C/C++

Advanced

Scala

Beginner

HTML/CSS

Intermediate

Latex

Intermediate

Miscellaneous

LINUX

Beginner

Docker

Proficient

Jenkins

Advanced

Kubernets

Beginner

Git/GitHub

Intermediate

MLFlow

Beginner

MS Office

Advanced

Qualifications

Academic and Professional Career
Education
Work
B.Sc.

Electrical and Electronic Engineering

IGEE ex-INELEC
2016 - 2019
M.Sc.

Control Engineering

IGEE ex-INELEC
2019 - 2021
MEng.

Mechatronics Engineering

University of Technology Malaysia
2022 - 2023
Ph.D.

Computer Science

University of Galway
2023 - Present

Ph.D researcher

University of Galway
2023 - present

Teacher Assistant

University of Galway
2023 - present

Projects

Involved Projects

AI-based embedded object detection

View More

Integration of artificial intelligence algorithms directly into electronic devices to enable real-time identification and tracking of objects within images or video streams.

  • Literature and Technology Review

  • Developed a lightweight CNN model(based on MobileNetV2) for optimal drone deployment

  • Leveraging TensorFlow Lite compression and post-training quantization to ensure peak real-time performance

Feedback motion planning with simulation based LQR-trees

View More

Feedback motion planning with simulation based LQR-trees

  • Quadrotor motion planning research

  • RRT and DC synergy

  • Rapidly Exploring Random Tree (RRT) algorithm

  • Direct Collocation (DC) method

  • Collision-free algorithm engineering

  • 6-DOF model implementation and evaluation

  • Simulations ran on Matlab

  • Taking into consideration the dynamics of the systems

Contact Me

Get in Touch

Call Me

Unavailable

Location

Galway, Ireland