Hi, my name is

Quang Chiem

Ho Chi Minh city, Vietnam · ctqua-remove-ng89@gmail.com

As an AI enthusiast equipped with doctoral degree in Machine Learning and Computer Vision, I excel in guiding businesses towards informed decisions through

  • Insightful data analysis
  • Product innovation
  • Customer-centric solution

☝ Actively seeking collaborative opportunities for impactful contributions and cutting-edge research.

Let's chart success together. !!!

Skills

Languages, Operating Systems & Tools
  • Python
  • R
  • C++
  • Git
  • Linux
  • Bash
  • Jquery
  • Javascript
  • HTML
Data Wrangling
  • Numpy
  • Pandas
Data Visualization
  • Matplotlib
  • Seaborn
  • Tableau
  • Plotly
Machine Learning Frameworks
  • Tensorflow
  • Pytorch
  • Scikit-learn
AI skills
  • OpenCV
  • NLTK
  • SpaCy
Platform Development & Administration
  • Atlassian
  • Gitlab
  • Github
Data Management
  • Microsoft SQL Server
  • MongoDB
  • Apache Spark
  • Neo4j
Containers & Cloud
  • Docker
  • AWS
  • Google Cloud
Web Scraping
  • Scrapy
  • BeautifulSoup
  • Selenium

Projects

This is a list of my projects showcasing my skills


Typesetting – AI-based Newspaper Placement Tool for the Japanese market.

This project aimed to develop a sophisticated tool for Japanese newspapers that automates the placement of content on the pages. The goal was to enhance the efficiency and quality of newspaper layout design in the Japanese market.

Hailstorm Forecast Using AI

In Japan, where damage from weather disasters continues unabated, there is a need for weather information service providers to promptly notify the danger of unpredictable abnormal weather and encourage consumers to take swift avoidance actions. This project aimed to develop a system provide early detection for extreme weather. Our forecast quality provided by AI-based system is proven to be better than Japan Meteorological Agency(JMA)

Generative AI Recommendation System

This project involves the development of an advanced recommendation system powered by Generative AI techniques. By analyzing user behavior and preferences, the system generates highly accurate and dynamic suggestions in real-time. This innovative approach enhances user engagement and significantly improves business outcomes by increasing conversion rates and customer satisfaction. Through cutting-edge technology, the project aims to personalize user experiences and drive growth for businesses.

Graph-based Recommendation system

Personalized travel recommendation systems are transforming trip planning by using graph-based techniques to analyze destination connections and traveler preferences. The system leverages user data, destination relationships, and travel themes to suggest tailored cities for different types of travelers, from adventure seekers to luxury enthusiasts, creating more intuitive and engaging travel experiences.

Return Forecasts using Conditional Autoconders

Develop an autoconder, which is a neural network trained to reproduce the input while learning a new representation of the data, to analyze the impact of some factors including economic conditions, investor behavior, or other mysterious influences on asset returns. The primary advantages include reducing pricing errors and ensuring adherence to economic principles within the developed pricing model.

AI Avatar Generator

Build API for generating avatars using Generative Deep Learning techniques

Point Cloud Based 3D Object Detection

Develop 3D Object Detection algorithms for enhancing the accuracy, robustness, and capabilities of autonomous systems across a spectrum of applications and industries.

Question Answering System

Build an encoder–decoder network that generates a suitable question, given one of the candidate answers.

Experience

Lead Data Scientist

MTI Technology

● Lead data strategy to identify and analyze new datasets, develop signal processing algorithms, fueling the development of machine learning models and build AI-based systems to enhance MTI’s weather services (e.g., Hail forecast system) and automate labour-intensive processes like Japanese article arrangement, Typesetting (patented in Japan) and AI-enhanced verbal medical record systems.
● Collaborate with software developers and data scientists to deploy predictive models into production environments and construct system testing.
● Design and implement algorithms to mine large-scale datasets, conducting error analysis and data cleaning to support market analysis (e.g., Market Insights).
● Coordinate with stakeholders to translate business objectives into actionable data science tasks, perform project planning and communicate findings and recommendations.
● Mentor and guide junior data scientists, fostering their professional growth and ensuring the high quality and consistency of their work.

March 2020 - Present

Data Scientist / Machine Learning Engineer Freelancer

I worked with multiple clients from Australia and Singapore, undertaking research and development projects centered on AI-driven solutions for streamlining administrative HR processes. This encompassed the creation of tools for tasks such as Resume Screening and Open-Domain Question Answer Systems. Furthermore, I contributed to a project focusing on employing Generative models for time series forecasting, showcasing versatility across a range of advanced AI techniques and applications.

September 2019 - Present

Research Assistant

Royal Melbourne Institute of Technology

● Collecting and analyzing data
● Conducting literature reviews
● Assisting with project development
● Preparing research documents
● Assisting with administration

May 2019 - November 2019

Education

Royal Melbourne Institute of Technology

Doctor of Philosophy
Computer Vision, Machine Learning

2015 - 2019

Royal Melbourne Institute of Technology

Master of Science
Engineering and Electronics

2012 - 2014

Da Nang University of Technology

Bachelor
Electronics and Communication Engineering

2007 - 2012

Blog

  • Revolutionizing Newspaper Design: How AI is Automating Typesetting

    The typesetting project aimed to create an AI-driven solution to automate the labor-intensive process of newspaper article arrangement, addressing several critical challenges. Manual typesetting is notoriously time-consuming and stressful, often leading to inconsistent layouts and potential human errors. These issues not only hinder productivity but also limit the ability to explore diverse solutions for optimal newspaper design. By leveraging Assistive AI, this project seeks to significantly reduce the manual workload, enhance operational efficiency, and ensure consistent output quality. The successful application of this technology in typesetting showcases its potential transferability to other industries facing similar manual challenges, offering a scalable solution for improving efficiency and reducing human error across various fields.

    Read more..

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  • Building Personalized Travel Recommendation Systems: Leveraging User Preferences and Destination Connections

    Discover how personalized travel recommendation systems are revolutionizing the way we plan our trips! This project explores the cutting-edge use of graph-based techniques to analyze connections between destinations and traveler preferences. By leveraging user data, destination relationships, and travel themes, the system suggests ideal cities tailored to individual needs. From adventure seekers to luxury travelers, uncover how this innovative approach is reshaping the travel experience, making every journey more intuitive, engaging, and unforgettable.

    Read more..

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  • Predicting the Unpredictable: AI-Powered Weather Forecasting for Hailstorm in Japan

    Japan, a nation celebrated for its stunning natural beauty, also grapples with the persistent threat of severe weather events. From typhoons and earthquakes to torrential rains, snowstorms, and hailstorms, these disasters often result in significant damage to property, infrastructure, and, most tragically, human life. In such a volatile environment, timely and precise weather information is essential for safeguarding public safety and mitigating the effects of these events. This post highlights a cutting-edge weather forecast model specifically designed for hail prediction. Remarkably, this model outperforms the Japan Meteorological Agency's (JMA) existing hail prediction model, achieving an accuracy rate of 72%—a substantial improvement of 17% over JMA's 55%.

    Read more..

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  • Revolutionizing Business User Engagement: Real-Time Generative AI Recommendation System Boosts Conversion Rates and Satisfaction

    This project involves the development of an advanced recommendation system powered by Generative AI techniques. By analyzing user behavior and preferences, the system generates highly accurate and dynamic suggestions in real-time. This innovative approach enhances user engagement and significantly improves business outcomes by increasing conversion rates and customer satisfaction. Through cutting-edge technology, the project aims to personalize user experiences and drive growth for businesses.

    Read more..

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    Let's Get in touch !!!

    Drop me a line, maybe?