Dinh Khai Nguyen

Based in Vietnam, I am an AI researcher and AI engineer with a strong passion for artificial intelligence and data-driven technologies. My academic background in computer science and hands-on experience with projects in machine learning, deep learning, natural language processing, and financial technology have equipped me with both theoretical knowledge and practical skills. I have worked on projects ranging from image recognition and fraud detection to building intelligent chatbots and real-time systems. This journey has given me valuable expertise in data analysis, programming, and problem-solving. I am deeply motivated to create AI solutions that not only advance technology but also deliver real-world impact. Innovation, continuous learning, and pushing the boundaries of what AI can achieve are at the core of my work, and I aspire to build impactful projects that shape the future of intelligent systems.

Machine Learning

PyTorch · Transformer · Seq2Seq · YOLOv5 / YOLOv1 · CBAM · XGBoost · SMOTE / ADASYN · scikit-learn

NLP

Vietnamese NLP · Diacritic restoration · BLEU / ChrF++ · Sentiment classification

Systems & Deployment

FastAPI · Docker · PostgreSQL · React · Apache Spark · Apache Hadoop

Inference & Performance

TensorRT · ONNX Runtime · TorchScript · torch.compile · FP16 / INT8 · CUDA profiling

• ResearchMap AI2026

  Turns a one-line description of a research field into a map of its literature: topics, trends and gaps. An agent answers questions about the field, citing only papers it actually retrieved.

  Cited papers verified real 36/36 · Retrieval precision@5 0.867 · Cost per answer $0.00032

• TaxMate AI2026

  A tax-compliance assistant for Vietnamese online sellers. It answers legal questions with a citation on every claim and reconciles sales against declared revenue. Built by a team of four that Khai led.

  Legal recall@5 93% · Legal documents indexed 13 · Cores integrated 4

• Detoura2026

  A realtime two-player board game built as a platform. It has a deterministic rules core, one set of typed schemas that validates, documents and tests the API, and a separate tournament service for bots.

  Workspace packages 9 · Interfaces under contract 5 · Protocol messages 14

• Bacera2026

  An online shop and workshop booking site for a Hanoi pottery studio, built on WordPress with Pancake POS as the system of record. Its public demo replays recorded POS traffic.

  Integration modules 6 · Custom SQL tables 15 · POS endpoints replayed 12

• Flow Center2026

  Booking, a self-assessment and a chat assistant for a clinic that treats period pain with traditional medicine. The AI stays strictly inside clinician-approved content.

  Parallel bookings in the race test 8 · Warning signs that stop the analysis 10 · Days a conversation is kept 90

• AI Pipeline Mastery2026

  A course built as software. A Python pipeline generates the course material and executes it as a test, and a Next.js platform runs learners' code either in the browser or on a pool of remote GPUs.

  Slides generated 383 · Figures rendered 129 · Execution lanes 2

• Classroom Trash Detection2026

  A computer-vision system split across a network. A stateful client handles the camera and the dashboard, and a stateless FastAPI service runs YOLOv8 on a GPU.

  Model formats 3 · Upload width 640 px · Deploy targets 3

• Neural Machine Translation2025

  Built a 12.5M-pair dataset for Vietnamese diacritic restoration and implemented RNN, GRU, LSTM and Transformer seq2seq models from scratch in PyTorch.

  BLEU 81.31 · ChrF++ 88.57 · Sentence pairs 12.5M

• Optimization for AI Inference Engines on GPUs2025

  Optimising GPU inference for ResNet50 and DistilBERT with FP16, INT8, TorchScript/torch.compile and ONNX.

  FP16 throughput ≈4× · INT8 speedup 2–5× · Graph optimisation 1.2–1.8×

• License Plate Recognition System2025

  A real-time license plate recognition system: a fine-tuned YOLOv5 model with OCR, a FastAPI and PostgreSQL backend and a React frontend, deployed with Docker.

  Throughput ~12 FPS

• Quantitative Trading System2025

  A quantitative trading system built from scratch in PyTorch: a Transformer that predicts BUY/SELL/HOLD signals from financial indicators and historical trading data.

  Validation accuracy 92.75% · Test accuracy 92.50% · Training samples 3.4M

• Credit Card Fraud Detection2024

  Fraud detection on the Kaggle credit card dataset, where 0.172% of transactions are fraud, comparing four classifiers with SMOTE and ADASYN resampling.

  ROC-AUC 0.9817 · Recall 0.816 · Positive rate 0.172%

• Large-Scale Text Sentiment Classification2024

  Sentiment classification of 1.6M tweets (Sentiment140) with Naive Bayes and SVM, run on Apache Hadoop and Apache Spark.

  Dataset 1.6M · SVM accuracy 80–82% · Naive Bayes accuracy 75%

• YOLOv1 With CBAM From Scratch2024

  YOLOv1 rebuilt from scratch in PyTorch, with its own dataset class and loss function, and CBAM attention added to the feature extractor.

  Train mAP 0.8829 · Best val mAP 0.6994 · Parameters 269.2M

• Third Prize, Student Scientific Research Award — Artificial Intelligence — VNU University of Engineering and Technology2026
• Third Prize, Student Track — Humanitarian Logistics Hackathon — Humanitarian Logistics Hackathon2026
• Academic Encouragement Scholarship — University of Engineering and Technology2024
• Second Prize, Provincial Excellent Student Contest in Physics — Thai Nguyen Province2023
• Third Prize, Provincial Excellent Student Contest in Informatics — Thai Nguyen Province2021