郭铭浩

THOMAS DWI DINATA

A DevOps Oriented Software Engineer!

Gitlab (Git Repository) LinkedIn

Introduction

A software engineer with DevOps philosophies in mind. Involved on many projects with various experiences, my technical skills are vast from cloud engineer, backend engineer, and data analytics. My problem solving skills able to identify problems, determine best solutions, and develop a robust and useful product. In addition to my technical skills, I also have good teamwork communication skills and a passion for learning new things. Whilst to my specialty, I'm also interested on several other unique field of studies such as Internet of Things (IoT), Robotics, and User Experience (UX).

Education

RMIT University

Bachelor of Information Technology with Distinction [BIT] (2018)

GPA: 3.3
Location: Melbourne, Australia
BINUS International University

Sarjana Komputer [S.Kom] (September 2015 - July 2019)

GPA: 3.62
Location: Jakarta, Indonesia

Technical Skills

🌐 Web Backend Backend

  • Node.js Express
  • Java EE Spring
  • PHP Laravel
  • PHP OctoberCMS/WinterCMS
  • Python Flask

🎨 Web Frontend Frontend

  • Vue.js
  • Svelte
  • Tailwind CSS
  • Bootstrap CSS
  • UIKit CSS
  • And many others...

🗄️ Database Backend

  • Mysql / MariaDB
  • PostgreSQL
  • MongoDB

📱 Mobile App Frontend

  • Swift (UIKit)
  • NativeScript with Vue.js

🖥️ Desktop App

  • Java
  • C# / .NET
  • Electron

🐧 DevOps DevOps

  • Linux System Administration
  • Shell Scripting
  • Ansible
  • Cloud Services (AWS, GCP, DigitalOcean)
  • Docker
  • Kubernetes (K8s)
  • Jenkins
  • Bare-metal Server Deployment
  • Proxmox

📑 Project Management

  • Scrum Framework
  • Agile

🤖 Embedded Devices IoT

  • Robot Operating System (ROS 2)
  • Arduino + C/C++ Arduino Library
  • Raspberry Pi or other ARM based SBC running Linux

🧑‍💻 Other Technical Skills

  • C & C++
  • Ubiquiti
  • Python
  • Redis

✨ Hobbies

  • Robotics Loves to tinker stuffs!
  • Photography
  • Drone

Publications

The 8th International Conference on Computer Science and Computational Intelligence 2023 (ICCSCI) with BINUS University

August 2023

Paper - A Comparative Analysis of Computer Vision Libraries in the Context of a Jakarta Traffic Simulator

Author: Ida Bagus Kerthyayana Manuaba, Thomas Dwi Dinata

Traffic management is essential for preventing traffic congestion and regulating traffic flow. Jakarta has implemented several methods to reduce traffic congestion in response to the growing number of vehicles on the road. This study proposes integrating computer vision and fuzzy logic into traffic lights for use in traffic management. The study focuses on comparing and implementing three computer vision libraries: ImageAI, Cloud Vision, and OpenCV Libraries. This comparison is based on Jakarta traffic data captured by closedcircuit television (CCTV). After evaluating the libraries, the result indicates the ImageAI achieves better performance than the other libraries across testing measurements and it was used to develop a module simulator. This simulator was used to compare the amber time produced by each lane at a simple intersection under fixed time versus proposed-actuated traffic lights. The simulation of the proposed actuated traffic light scenario demonstrates that the use of computer vision and fuzzy logic in the decision-making process can marginally improve traffic simulation compared to the fixed-time traffic light scenario. This study illustrates the application of computer vision and fuzzy logic to traffic management. The application of these technologies to traffic lights has the potential to increase traffic flow and decrease congestion.

Published Paper - A Comparative Analysis of Computer Vision Libraries in the Context of a Jakarta Traffic Simulator

Author: Ida Bagus Kerthyayana Manuaba, Thomas Dwi Dinata

Paper ID: 7225

The 8th International Conference on Computer Science and Computational Intelligence (ICCSCI 2023) is annual forum for researchers, engineers, and scientist to disseminate their knowledge and research on Computer Science, Computational Intelligence, and Information Technology.

Open Source Projects

Referral

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