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hathubkhn/README.md

Nguyen Thi Thu (Thu NT)

AI Engineer · NLP & LLM Specialist · Researcher
Bridging cutting-edge AI research with impactful production systems


About Me

  • 🎓 M.Sc. Computer Science — University of Ulsan, South Korea (GPA: 4.2/4.5)
  • 💼 AI Engineer @ Employment Hero — Agentic AI for talent matching
  • 🔬 Assistant Researcher @ HUST Center of Digital Transformation — Diffusion models & LLMs
  • 🧪 Research Lead @ AppliedAI-Lab — AI for Bioinformatics · Time Series · Materials
  • 🏅 Nvidia Certified Instructor · AWS ML & Solutions Architect Associate
  • 📍 Hanoi, Vietnam · Open to research collaboration

🚀 What I'm Working On

  • Agentic Recruitment AI @ Employment Hero — intelligent candidate-recruiter matching with LangSmith & OpenAI SDK
  • VARDiff — Vision-augmented retrieval-guided diffusion model for stock forecasting (Information Sciences 2026)
  • FRAIL — Fragment-based Reinforcement Learning for molecular design targeting FAAH-1 ()
  • RAG-Impute — Retrieval-augmented generation for multivariate time series imputation

🔬 Research Focus

Domain Topics
NLP & Large Language Models Instruction tuning · Vietnamese NLP · Finance LLMs · Efficient inference
Generative AI Diffusion models · Molecular generation · Drug discovery (PARP1, FAAH-1)
Time Series Stock forecasting · RAG-based imputation · Foundation models · Spatio-temporal analysis
Agentic Systems LLM agents · Tool use · Path planning (SmaLLaMA-A*)

📚 Selected Publications

📖 114+ citations · Full list on Google Scholar

Year Paper Venue
2026 VARDiff: Vision-augmented retrieval-guided diffusion for stock forecasting Information Sciences
2025 SmaLLaMA-A*: Lightweight LLMs for efficient robot path planning ATC 2025
2025 PARP1 Inhibitors: Integrating diffusion models and molecular modeling J. Biomolecular Structure & Dynamics
2025 FRAIL: Fragment-based RL for molecular design on FAAH-1 Molecular Diversity ()
2024 ViFin-Gen: Vietnamese instruction dataset generation for finance ATC 2024
2024 IBC-YOLOv8: Inverted Bottleneck Convolution for YOLOv8 IEEE ISIE 2024
2024 Impact of Tokenizer in Pretrained Language Models for Finance FAIR 2024
2019 Short-term stock price movement prediction via Transfer Learning Applied Sciences97 citations

🛠️ Tech Stack

Languages

Python C++ TypeScript

AI / ML

PyTorch HuggingFace LangChain vLLM OpenAI LLaMA Factory

Infrastructure & Tools

Docker PostgreSQL MongoDB AWS


🏆 Certifications & Recognition

  • 🟠 AWS Solutions Architect — Associate (Dec 2024)
  • 🟠 AWS Machine Learning — Associate (Mar 2025)
  • 🟢 Nvidia Certified Instructor — Rapid Application Development using LLMs

🏢 Experience Highlights

Period Role Company
Apr 2025 – Now AI Engineer Employment Hero
Dec 2023 – Now Assistant Researcher HUST Center of Digital Transformation
Feb 2023 – Apr 2025 AI Engineer (PM & Tech Lead) Samsung Electronics Vietnam
Feb 2022 – Jan 2023 AI Engineer (TTS & OCR) Data Design Engineering, Seoul
Feb 2020 – Mar 2022 AI / Data Engineer Good Intelligence Company, Seoul

📊 GitHub Stats

"AI is not just a tool — it's a lens to see science differently."

Pinned Loading

  1. AppliedAI-Lab/Molecular-Generation AppliedAI-Lab/Molecular-Generation Public

    Generative AI for de novo molecular design — scaffold-aware generation of drug-like molecules using diffusion models

    Jupyter Notebook

  2. AppliedAI-Lab/FRAIL AppliedAI-Lab/FRAIL Public

    Pytorch implementation for the paper "FRAIL: Fragment-Based Reinforcement Learning for Molecular Design and Benchmarking on Fatty Acid Amide Hydrolase 1 (FAAH-1)".

    Jupyter Notebook 1

  3. AppliedAI-Lab/VARDiff AppliedAI-Lab/VARDiff Public

    VARDiff is a novel vision-guided diffusion framework for uncertainty-aware stock forecasting, combining the complementary strengths of diffusion models and vision-based retrieval.

    Python 1