Duong Dang Huynh Khanh portrait

AI Engineer | AI & Cloud Deployment

Building practical AI systems that turn research into reliable, real-world impact.

I care deeply about the gap between a working notebook and a system that runs in production — making models faster, cheaper, more reliable, and useful to the people they were built for.

Abstract organic shapes in muted natural tones
About

Engineer first, researcher second.

AI Engineer with 4 years of experience spanning AI research and production AI systems. I build scalable, production-ready AI solutions by combining strong AI fundamentals with software engineering best practices. My expertise covers AI infrastructure, LLM applications, cloud deployment, and performance optimization, delivering systems that are reliable, cost-efficient, and designed to scale. I focus on turning AI capabilities into practical products that generate measurable business value.

Da Nang, Viet Nam
Skills

What I bring to the work.

A practical mix of research depth and production engineering.

Programming Languages

  • Python
  • C++
  • TypeScript
  • JavaScript

Artificial Intelligence

  • Computer Vision
  • Large Language Models

Cloud & Deployment

  • AWS
  • Docker
  • CI/CD
Experience

Where I've shipped.

Four years of turning AI research into running systems.

AI Engineer

4/2022 — 2026

FTECH Co., Ltd.

Da Nang, Viet Nam (Onsite)

During my 4 years at FTECH Co., Ltd., I contributed from research and idea development to deployment, operations, and optimization. These experiences gave me a strong foundation across multiple AI domains and a solid understanding of how to build AI systems that solve real-world problems and deliver meaningful value.

  • Built the reliable virtual human streaming system for a streaming platform and another marketing/sales application.
  • Built the AI News Generation pipeline that reduces the news production time from days to hours.
Projects

Systems I've built.

Each card links to the build logs that document how it was made.

Real-time Virtual Human Streaming System product preview

Real-time Virtual Human Streaming System

A real-time (25 FPS) virtual human assistant streaming system that integrates LLM, TTS, and video generation to deliver interactive, low-latency conversational experiences for streaming and marketing/sales application.

Frame rate
25 FPS
Cold start
-60%
  • Redis
  • RabbitMQ
  • LiveKit
  • RTMP
  • +3
Read build logs
AI-powered News Video Generation System product preview

AI-powered News Video Generation System

An AI-powered news video generation pipeline based on talking face generation and video composition that automates the production workflow for news platforms, reducing video production time from days to hours. The system enables scalable generation of up to 10 news videos per day while significantly reducing manual video editing costs through automated scripting, voice generation, media processing, and video composition.

Throughput
10/day
Storage cost
-60%
  • PyTorch
  • TensorRT
  • Docker
Read build logs
Scalable Resume Tailoring & Job Application System product preview

Scalable Resume Tailoring & Job Application System

An AI-powered resume tailoring application that eliminates the need to manually customize resumes for each job application by enabling batch resume tailoring and large-scale job application workflows.

Inference time
-60%
Cost / message
-30%
  • OpenAI
  • FastAPI
  • PostgreSQL
  • LLM
Read build logs
Lecture Video Generation for Online Teaching product preview

Lecture Video Generation for Online Teaching

An application that automates the creation of online lectures through speech and video generation technologies, helping instructors eliminate time-consuming video editing workflows and concentrate on delivering engaging learning content.

Uptime
99.9%
Idle cost
0
  • Stable Diffusion
  • Text-To-Speech
  • AWS
  • Serverless
  • +1
Read build logs
Education

How I learned.

B.Eng. in Data Science and Artificial Intelligence

10/2020 — 10/2025

Da Nang University of Technology

Da Nang, Viet Nam

Graduated Excellent with GPA 3.8/4.0. Won Third Prize in Scientific Research (Faculty of IT, 2023) and Second Prize in Scientific Research (Faculty of IT, 2024).

Certificates

Credentials.

AWS Certified Solutions Architect – Associate (SAA-C03)

AWS · 12/2025

TOEIC Listening & Reading — Score 830

IIG · 7/2024

Paper presented at the National Science Conference FAIR'2023

FAIR'2023 · 7/2023

Let's build something that lasts.

If you need an AI engineer who cares about production, performance, and the people using the product, I'd love to hear from you.