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Dao Viet Anh

Job major: AI Engineer • Research Major: 3D Reconstruction • LLM Researcher • Full‑stack Developer

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About Me

I’m an AI engineer and researcher with expertise in Machine Learning, Deep Learning, 3D, LLMs, MLOps, DevOps, HPC, and full-stack web development. I enjoy building cutting-edge AI pipelines, Advance 3D reconstruction Technology, integrating LLMs and agents, deploying scalable services, and exploring cross‑cultural working environments.

Education

Technical Skills

Machine Learning & Vision

  • Algorithms: Linear/Logistic Regression, SVM, KNN, PCA
  • Deep Learning: CNN, RNN, GNN, DNN — for classification, detection, segmentation, generation
  • Vision models: VGG19, ResNet, MobileNet, ArcFace, FaceNet, YOLO, SSD, R-CNN, YOLACT, NeRF, Superpoint
  • Image processing: Edge detection, transforms, filtering, stereo vision

LLMs & Agents

  • APIs: OpenAI, HuggingFace
  • RAG with LangChain, LlamaIndex, LangSmith
  • Multi-agent orchestration (LangGraph, AutoGPT-like)
  • Custom modular agents (MCP protocols)

MLOps, DevOps & HPC

  • Docker, Docker Compose, Kubernetes, Helm
  • HPC: DGX-A100, MIG, multi-user Kubeflow
  • CI/CD: GitLab CI, GitHub Actions
  • Virtualization: KVM, QEMU, network & firewall configuration
  • HIP, Cuda, Python, Shell

Web & Backend Development

  • Django, FastAPI, React.js
  • Celery, Redis, REST API, RabbitMQ
  • Deployment: Docker, K8s, monitoring (Prometheus, Grafana)
  • Testing: Sonarqube, BlackduckHub

Research Domains

Computer Vision illustration

Computer Vision

Algorithms and pipelines for detection, segmentation, reconstruction.

NeRF visualization

Neural Radiance Field (NeRF)

3D scene representation and view synthesis using NeRF techniques.

Gaussian Splatting rendering

Gaussian Splatting

Research on point-based 3D reconstruction, rendering with Gaussian splats.

LLM Agents diagram

LLM Agents

Design and orchestration of agent-based workflows and RAG-powered systems.

Professional Experience

AI Lecturer / Researcher · UET VNU

May 2025 – Present
  • Research 3D Reconstruction Technology (Nerf, GS, RadFoam, SDF)
  • Integrate LLMs and agents for document‑understanding workflows

AI Engineer · Samsung SDS

Dec 2023 – May 2025
  • Deploy OCR/NLP AI services on Kubernetes and AWS
  • Build fullstack web apps with Django, React.js, Celery
  • Optimize pipelines and production CI/CD workflows

Research Engineer · VKIST

Jul 2021 – Dec 2023
  • 3D face recognition under unconstrained settings
  • Contributed to 2 papers and a facial recognition patent
  • Built image pipelines with Poliface dataset

MLOps Engineer · VKIST + VNU ITI

Mar 2022 – Dec 2023
  • Deployed DGX-A100 Kubernetes cluster using MIG
  • Managed Kubeflow and multi-user HPC environment

AI Engineer · Hyperlogy

Jan 2021 – Jun 2021
  • Developed FaceNet-based EKYC onboarding service
  • Built document verification using OCR and segmentation

Fullstack Developer · Velacorp

Sep 2018 – Dec 2020
  • Created microservices for logistics system
  • Maintained CI/CD pipelines and Docker deployment

Notable Projects & Publications

Face Recognition

Face Recognition System (VKIST)

Built 3D face alignment & reconstruction with PCA, Superpoint, Homography. Published two papers and contributed to a patent.

EKYC

EKYC & IDP Solutions

Developed face and document verification pipelines (FaceNet, ANN, OCR segmentation), deployed via Django/React, optimized inference & CI/CD.

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