Computer Vision Deep Learning

Nguyen Quang Khai

Ho Chi Minh City ***************@*****.*** +84-976-***-*** LinkedIn GitHub AI Engineer Computer Vision & NLP Bridging Research to Production Final-year AI Engineering student at FPT University with strong academic performance. Experienced in computer vision, NLP, and ML engineering through both international research and industry internships. Skilled at transforming research prototypes into scalable, production-ready AI solutions. Passionate about applying deep learning and data-driven approaches to real-world systems. Granted exemption from class attendance, allowing me to work full-time.

Quick Guide

• Specialization / Role: AI Engineering, ML Engineering

• Strengths: Bridging research and production, optimizing models for deployment, data-driven problem solving Achievements / Awards

• 70% Merit-based Scholarship, FPT University (4 years)

• GPA: 3.5 / 4.0

• Research collaboration with Chung Cheng University, Taiwan — results pending publication Experience

Research Assistant, Chung Cheng University – Taiwan Aug 2024 – Feb 2025

• Assisted Prof. Wen-nung Lie on a computer vision research project focused on head pose estimation.

• Gained expertise in reading academic papers for deep research and implementing models optimized for GPU.

• Improved model accuracy over prior baselines; results pending publication.

• Head Pose Estimation Project — GitHub Repository. ML Engineering Intern, HRS Groups – Vietnam Apr 2025 – Aug 2025

• Worked on projects involving OCR, invoice matching, and Azure Document Intelligence, leveraging Tesseract, BERT, and NER, Finetune, LoRa, QLoRA techniques.

• Built a customer email classification dataset from scratch, growing from 0 to 100,000 labeled entries.

• Developed an algorithm to detect rare labels, reducing class bias and improving dataset quality.

• Applied NLP and LLM techniques for data preprocessing, labeling, and model input preparation.

• Gained hands-on experience in large-scale dataset construction, data balancing, and ML model pipeline design.

• PyTorch implementation and experiments — GitHub Repository. AI Engineer Intern, DFM-Engineering – Vietnam Sep 2025 – Present

• Led CPV-3D project: converted hand-drawn diagrams structured JSON for automated 3D visualization.

• Designed pipeline using CV + Graph Neural Networks, mapping relationships between nodes.

• Applied NLP and LLM-based techniques to enrich node metadata and semantic graph labeling.

• Contributed to building a scalable framework for diagram-to-JSON conversion, enabling automated 3D visualization of engineering projects. (Ongoing 1 weeks work) Technologies & Skills

Languages: Python, Java, SQL

AI/ML Frameworks & Tools: PyTorch, FastAPI, Docker, RAG pipeline design (with LlamaIndex, FAISS) NLP / Computer Vision: Embeddings, classification, OCR (PyMuPDF, Tesseract), Azure Document Intelligence, Information Extraction (BERT, NER), Finetune, LoRa, QLoRA Other: Git, experiment tracking

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