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Resume

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Table of Contents

Bach-Khoi Vo
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Location: HCM City, Vietnam
Email: itskoiwork@gmail.com
Website: itskoi.github.io
LinkedIn: bachkhoivo


Professional Summary
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AI Engineer with hands-on experience in building production-grade LLM applications, specializing in Retrieval-Augmented Generation (RAG) architectures and MLOps practices. Published researcher in NLP and multi-modal AI, with expertise in Vietnamese language models. Proven track record in designing scalable AI infrastructure and implementing end-to-end machine learning pipelines. Strong focus on building reliable, production-ready AI systems while maintaining active contributions to open-source LLM tools and technical documentation.


Education
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University of Science
Bachelor of Science in Computer Science
Aug 2019 – Nov 2023
GPA: 3.74/4.0

Awards:

  • Outstanding Freshman Scholarship, 2019
  • Encouragement Scholarship for academic years 2019-2022
  • Recognized for Outstanding Research Activities, 2022-2023
  • Top 12 in the HCM AI Challenge 2022 (Video Retrieval)

Certifications
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  • Google Cloud Skills Boost, Member - Diamond League, 2022 - Present
  • TOEIC 900, IIG Vietnam, Jun 2023
  • IBM AI Engineer Certificate, Coursera, Jun 2022 - Sep 2022
  • IBM Data Science Professional Certificate, Coursera, May 2021 - Jun 2021

Publications
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  • Combining Diffusion Model and PhoBERT for Vietnamese Text-to-Image Generation
    IEEE-RIVF’23, Dec 2023
    Authors: Bach-Khoi Vo, Anh-Dung Ho, An-Vinh Luong, Dinh Dien
    DOI: 10.1109/RIVF60135.2023.10471860

  • Sentiment Analysis for Vietnamese Language Using PhoBERT Model
    FAIR’22, Dec 2022
    Authors: Thanh-Tu Huynh, Bach-Khoi Vo, Anh-Dung Ho, Duc-Lung Vu
    DOI: 10.15625/vap.2022.0254


Experience
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AI Engineer
Uniquify, Oct 2023 – Present

  • Led development of an LLM-based chatbot for SoC documentation, implementing RAG and MLOps for reliability and scalability.
  • Developed AI training modules covering CV, NLP, LLMs, and MLOps to support team knowledge building.
  • Deployed a real-time ETL pipeline using Kafka and Schema Registry for structured data processing.
  • Conducted seminars and workshops, producing documentation for continuous learning and effective knowledge sharing.

Research Assistant
Computational Linguistics Center (CLC) - HCMUS, Apr 2022 - Jun 2023

  • Contributed to Vietnamese text-to-image synthesis model research, combining Diffusion Models and PhoBERT, achieving state-of-the-art results.
  • Improved PhoBERT architecture for sentiment analysis on Vietnamese, resulting in a 95.22% F1-score on the UIT-VSFC dataset.

AI Engineer Intern
ITR, Feb 2023 - Apr 2023

  • Led a team for an R&D project on automatic spelling correction in medical reports using deep learning for the healthcare sector.
  • Managed task assignments, milestones, and ensured timely project completion.

Personal Projects
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  • arXivRAG
    GitHub Repository, Sep 2024 - Present
    An open-source tool for retrieving and summarizing academic content from arXiv, using Docker, Milvus, MinIO, LlamaIndex, Ollama/Hugging Face, FastAPI, MongoDB/Redis, Chainlit/Gradio, Nginx, Prometheus, Grafana, and the EFK Stack.

  • Personal Blog
    itskoi.github.io, Oct 2024 - Present
    Technical blog documenting AI concepts, including IR, LLM, MLOps, and Software & Data Engineering practices.


Technologies
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LLM & NLP
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  • Development: LangChain, LlamaIndex, Hugging Face Transformers, NLTK, spaCy
  • LLM Serving: Ollama, vLLM
  • Vector Databases: Milvus, Qdrant, Chroma

MLOps & Infrastructure
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  • Data Stack: RabbitMQ, Kafka, MongoDB, PostgreSQL, MinIO, FastAPI
  • Orchestration & Monitoring: Docker, Airflow, Prometheus, EFK Stack
  • Cloud: Google Cloud Platform (GCP)

Data Science
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  • Computer Vision: OpenCV, PIL, Scikit-image, Ultralytics
  • Deep Learning: PyTorch, TensorFlow, Keras
  • Machine Learning: Scikit-learn, XGBoost
  • Data Processing: NumPy, Pandas, SciPy
  • Visualization: Matplotlib, Seaborn, Streamlit

Development Tools & Environment
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  • Programming: Python, SQL, Bash
  • Version Control: Git
  • OS: Linux, macOS, Windows
Bach-Khoi Vo
Author
Bach-Khoi Vo
Hi 👋 I’m an AI engineer with a love for building practical, production-ready AI systems, especially around Large Language Models (LLMs) and MLOps. I enjoy exploring the latest in Retrieval-Augmented Generation, NLP, and multi-modal AI. My journey has taken me from research and hands-on projects to sharing insights through open-source contributions and technical writing. Whether it’s developing new models, designing pipelines, or diving into cloud tech, I’m always eager to learn and connect with others in the AI space!