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Educational background :

[Present]
Honor Program in Computer Science, UIT-VNU.
Master of Information Science, JAIST.

Industry Experience:

  • March. 2024 - Now: MLOps Engineer, AI Team Lead at IMT Solutions
  • December. 2022 - March. 2024: AI Engineer at Bap IT
  • Aug. 2022 - Dec.2022: AI Backend Engineer at PapaGroup

ACADEMIC EXPERIENCE:

  • April. 2024 - Now: Labratory Assistant at Japan Adavanced Institute of Science and Technology
  • Feb. 2022 - Aug. 2022: Research Assistant at Vin Smart Health Center
  • Sep. 2018 - Jan. 2022: Research Assistant at Multimedia Communication Lab at the University of Information Technology

FREELANCE EXPERIENCE:

  • June. 2023 - May. 2024: Data Engineer, LLM Engineer at ChatFly

Projects:

  • General Document Analysis
    • Facilitated the CI/CD process for data ingestion, annotation, model training, model deployment, monitoring, and AI API development for open-sourced layout analysis model
    • Setup pipeline to allow user finetune their own Azure Document Intelligence model
    • Apply this workflow to build:
      • Invoice information extraction
      • Name card information extraction
      • Resume analyzer application
  • LLM-based chatbot framework
    • Employs cutting-edge techniques: Qdrant, Semantic Caching, Semantic Routing, NVIDIA Memo, Portkey
    • Support including references and images in the response of chatbot
    • Apply this framework to build:
      • An internal chatbot to support newly hired employees.
      • A chatbot capable of translating receipt names across a set of low-resourced languages
  • IoT data management
    • Developed AWS architecture to monitor the data from IOT sensor devices which measures temperature, humidity, power usage, etc
    • Used AWS service to build machine learning pipeline used to forecast the time series value in the future as well as detect anomalies in the previous month’s data
  • AI camera system for face recognition
    • Developed and maintained AI services of real-time recognition and authentication of individuals.
    • Integrate into the check-in/check-out system
  • ID Card Digitization and Information Extraction
    • Examined to use CRAFT, PIXELLINK, CTPN for text detection module and VIETOCR for text recognition module
    • Created synthetic data for ID card images
    • Built a post processing module based on database retrieval to correct text error
    • Designed a web service to deploy the service
  • Script Identification in the wild(SIW2021) - ICDAR2021(A - Rank Conference)
    • Developed EfficientNet B7 for a competive solution
    • Ranked top 4 in the final leader board and become co-author in the associated conference paper in ICDAR 2021
  • Abdominal Multi Organ Segmentation (FLARE2021) - MICCAI2021(A - Rank Conference)
    • Presented an approach based on 2D segmentation
    • Exploit model optimization techniques in Pytorch to optimize infernece speed and GPU memory
    • Ranked top 6 in the final leader board and made an oral presentation in the satteline event of MICCAI conference
  • Vehicle Counting - Ho Chi Minh City AI-Challenge 2020
    • Designed a solution using Detectron2, DeepSort
    • Ranked top 18/217 in the final leader boardTraffic Sign Detection - Zalo AI Challenge 2020
    • Designed a solution using Detectron2
    • Ranked top 17 in the final leader board and get Honorable Mention Award
  • Smart Citizens for Smart Cities - AI Hackathon 2020 @ AI4VN
    • Creative Ideas Award
    • Honorable Mention Award
    • Awarded for the fastest and most efficient submit(3/10 submits)
  • Generative Adversarial Networks for Photo Cartoonization
    • Build an Style Tranfer network for photo cartoonization
    • Deploy the model into a mobile app
  • Landmark Retrieval
    • Experiment the performance of many Deep Leaning based feature extractors
    • Study the use of DELG model for the retrieval problem
    • Deploy a web application that can search for related image as well as their location information based on an inputimage
  • View Synthesis
    • Study the use of NERF model
    • Finish the completed pipeline for data formatting and model retraining

Publications:

  • Nguyen, Quoc-Cuong, et al. “Efficient Multi-Organ Segmentation Using HRNet And OCRNet.” 2022 RIVF International Conference on Computing and Communication Technologies (RIVF). IEEE, 2022.

  • Nguyen, Huy Q., et al. “Enhancing few-shot image classification with cosine transformer.” IEEE Access (2023).

  • Das, A., Ferrer, M. A., Morales, A., Diaz, M., Pal, U., Impedovo, D., … & Gattal, A. (2021, September). ICDAR 2021 Competition on Script Identification in the Wild. In International Conference on Document Analysis and Recognition (pp. 738-753). Springer, Cham.

  • MA, Jun, et al. Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge. Medical Image Analysis, 2022, 82: 102616.

Award:

• Vietnam Southern Provicial Programming Contest, HCM, VN
• Third Prize in 2018 Vietnam National Programming Contest
• Honorable Mention in 2018 ICPC Asia Southeast and Pacific Hanoi Regional Contest
• Second Prize in 2019 Vietnam National Programming Contest
• First Prize in 2019 UIT ACM Programming Contest
• Honorable Mention in 2020 ICPC Asia Can Tho Regional Contest
• Third Prize in Vietnam Informatic Student Olypic 2018
• Top 4 in ICDAR Competition on Script Identification in the Wild
• Top 6 in FLARE2021-Fast and Low GPU memory Abdominal oRgan sEgmentation
• Hornorable Mention in Computer Vision Track of Zalo AI Challenge 2020
• AI Hackathon 2020 @ AI4VN
• Creative Ideas Award
• Honorable Mention Award
• Awarded for the fastest and most efficient submit(3/10 submits)
• First Prize in Competitive Programming Competition with NetCompany

Certification :

• AWS Solution Architect Associate C03

• Datacamp Data Scientist Associate

• IBM Data Science Professional Certificate

Contact :

E-mail: quoccuonglqd123@gm.uit.edu.vn

Tel: +84 968543031