CV

Education

• Bachelor of Science in Computer Science (Specialization in Data Science and Artificial Intelligence), Phenikaa University, Ha Noi, Viet Nam, Sep 2021 - June 2025
  • GPA: 3.21/4.00
  • Coursework includes Data Science, Machine Learning, Computer Vision, and Natural Language Processing

Work Experience

• Full Time AI Engineer, BSM Labs, Ha Noi, Viet Nam, April 2024 - Present
  • Serve as a key member of the AI team, designing and deploying enterprise-level solutions in smart healthcare, smart education, and digital transformation.
  • Lead the integration of GenAI methodologies into product development, collaborating directly with clients and internal leadership to shape strategic initiatives.
  • Spearhead product deployment for partners and oversee research-to-implementation cycles that enhance customer experience.
• AI Intern, Phenikaa X, Ha Noi, Viet Nam, February 2023 – May 2023
  • Developed an advanced computer vision system for traffic light detection on Vietnamese roadways using both lidar and camera data, contributing to autonomous vehicle technology.
  • Collaborated within a dedicated team to ensure robust and accurate detection capabilities across diverse urban environments.
• Research Assistant, AIoT Lab - Phenikaa University, Ha Noi, Viet Nam, October 2021 – Present
  • Engaged in pioneering research projects focused on AIoT applications, enhancing the practical implementation of machine learning techniques in real-world scenarios.
  • Supported academic initiatives by developing innovative AI solutions that bridge theoretical research and practical application.
• Apprentice, Project X VietNam, Ha Noi, Viet Nam, January 2024 – Present
  • Participated in community-driven AI projects, gaining hands-on experience and contributing to the development of innovative solutions within the GenAI landscape.

Projects

• Leveraging Mixtures of Agents for Enhanced Multi-Document Summarization, Mar 2025 - Present
  • Tools: LangChain, LangGraph, NER (CasRelBLCF), Mixture-of-Agents, Multi-Agent Systems, Llama-index
  • Implemented a mixture-of-agents mechanism using LangChain/LangGraph and Llama-index frameworks to orchestrate AI-driven summarization across agents, optimizing scalability and performance for multi-document summarization tasks.
  • Spearheaded the creation of a new AI Agents team, collaborating with cross-functional stakeholders to integrate the system into real-world applications like news aggregation and enterprise document analysis.
  • Enhanced system robustness by fine-tuning LLMs for bilingual (English/Vietnamese) datasets, ensuring practical deployment in diverse linguistic contexts.
• Smart Data Platform, Jan 2025 - Present
  • Tools: MoA platform, Ontology DB, VectorDB, Pytorch, OCR
  • Architected a comprehensive enterprise data aggregation system to convert unstructured data into structured formats.
  • Developed storage solutions and a hybrid exploration tool that enables users to retrieve and analyze critical data insights, facilitating tailored use-case implementations.
• Smart Healthcare Platform, September 2024 - Present
  • Tools: Runpod, AWS, LLM, FastAPI, Pytorch, Unsloth, Socket io, Crawler
  • Led data collection and filtration efforts using comprehensive medical datasets to power the HMUH AI application.
  • Engineered a chatbot capable of learning from medical expertise to provide preliminary consultations, effectively bridging patient queries with professional advice.
  • Integrated IoT data streams for real-time patient monitoring, diagnostic analysis, and automated alert systems for healthcare professionals.
• EdTech Platform for Corporate Education, April 2024 - Present
  • Tools: Runpod, AWS, Docker, Github Action, Systemd Services, FastAPI, Pytorch, Unsloth, Replicate, Huggingface
  • Developed LLM-based models to automate lesson content creation.
  • Fine-tuned speech-to-text systems tailored for the Vietnamese language, improving content accessibility.
  • Implemented an adaptive learning platform featuring a recommendation system that combines hybrid search and GenAI insights to personalize learning strategies for each user and enterprise.
  • Designed a video slideshow generation tool with integrated avatar features and user-specific fine-tuning using GenAI models such as Flux and SXDL.

Publications

• [C.3] Vuong Tuan-Cuong, Cong Chi Nguyen, Pham Van-Cuong, Le Thi-Thanh-Huyen, Tran Xuan-Nam, Luong Thien Van. (2024). Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach. Manuscript accepted for publication in 2024 International Symposium on Nonlinear Theory and Its Applications, pp. 798-804.

• [C.2] Vuong Tuan-Cuong, Trang Mai Xuan, Luong Thien Van. (2024). BERT-VBD: Vietnamese Multi-Document Summarization Framework. In CITA 2024: The 13th Conference on Information Technology and its Applications, pp. 1798-1804.

• [J.1] Ngo Vu-Duc, Vuong Tuan-Cuong, Van Luong Thien, Tran Hung. (2023). Machine learning-based intrusion detection: feature selection versus feature extraction. Cluster Computing, pp. 1-15. Springer.

• [C.1] Vuong Tuan-Cuong, Tran Hung, Trang Mai Xuan, Ngo Vu-Duc, Luong Thien Van. (2022). A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems. In 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1798-1804. DOI: 10.23919/APSIPAASC55919.2022.9979923

Skills

• Programming Languages: Python, C++
• Web Technologies: Socket.io, FastAPI, Flask, Streamlit, Gradio
• Database Systems: Faiss, Qdrant, ChromaDB, Milvus, Neo4j
• Agent Systems: Langchain, LangGraph, LangSmith, Llama-index, Unsloth, n8n
• Data Science & Machine Learning: Pandas, NumPy, PyTorch, scikit-learn, TensorFlow, and other modern ML frameworks
• DevOps & Version Control: GitHub Actions (CI/CD), Docker, Runpod
• Research Skills: Proficient in literature review using Google Scholar, drafting technical papers with Overleaf, experimental design, data analysis, and technical writing

Honors and Awards

• Nominee for Student Best Paper Awards in CITA2024, July 2024
• Viet Nam Informatics Olympiad consolation prize 2023, December 2023
• Third Prize in OSM Hackfest 2023 hosted by Vietnam Free Opensource Software Association, July 2023
• Second Prize in Scientific Research Competition hosted by Phenikaa University, August 2022
• First Prize in Scientific Research Competition hosted by Faculty of Computer Science, Feb 2022

Leadership Experience

• AI Team, BSM Labs, October 2024 - Present
  • Oversee strategic AI initiatives and mentor team members in advanced GenAI deployment techniques.
  • Achieved significant improvements in product deployment efficiency and customer engagement through proactive leadership and innovative project management.
  • Initiated and led key projects that have contributed to the overall success and growth of the AI division.

Professional Service

• Student member of Asia-Pacific Signal and Information Processing Conference, November 2022 - Present

Certifications

• AWS Academy Graduate - AWS Academy Cloud Architecting, July 2023
• AWS Academy Graduate - AWS Academy Data Engineering, July 2023
• AWS Academy Graduate - AWS Academy Cloud Foundations, January 2023

Additional Information

• Languages: Vietnamese (Native), English (IELTS - 6.5)
• Interests: Reading and deep research in AI and GenAI, Continuous learning and exploring emerging technologies

Publications

Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach

Vuong Tuan-Cuong, Cong Chi Nguyen, Pham Van-Cuong, Le Thi-Thanh-Huyen, Tran Xuan-Nam, Luong Thien Van. (2024). "Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach." 2024 International Symposium on Nonlinear Theory and Its Applications, pp. 798-804.

BERT-VBD: Vietnamese Multi-Document Summarization Framework

Vuong Tuan-Cuong, Trang Mai Xuan, Luong Thien Van. (2024). "BERT-VBD: Vietnamese Multi-Document Summarization Framework." CITA 2024: The 13th Conference on Information Technology and its Applications, pp. 1798-1804.

Machine learning-based intrusion detection: feature selection versus feature extraction

Ngo Vu-Duc, Vuong Tuan-Cuong, Van Luong Thien, Tran Hung. (2023). "Machine learning-based intrusion detection: feature selection versus feature extraction." Cluster Computing, pp. 1-15.

A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems

Vuong Tuan-Cuong, Tran Hung, Trang Mai Xuan, Ngo Vu-Duc, Luong Thien Van. (2022). "A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems." 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1798-1804.

Talks

A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems

November 25, 2022

Conference presentation at Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Bangkok, Thailand

Teaching

Machine Learning: Focus on Feature Extraction Techniques

Introduction to Artificial Intelligence