# Thien Nguyen

Thien Nguyen is a remote worker on Himalayas, CUDA Developer at Autoencoder with CUDA, based in Vietnam.

Source: https://himalayas.app/@thiennguyen2

```text
I build AI systems, scalable backends, and high-performance CUDA models.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | Vietnam |
| Authorized to work in | Vietnam |
| Job categories | AI Engineer, Backend Engineer, Full Stack Developer, CUDA Developer |
| Skills | Python, C++, CUDA, SQL, JavaScript, PySpark, Airflow, PyTorch, Hugging Face Transformers, fastAPI, ExpressJS, Pandas, NumPy, OpenCV, Dlib, scikit learn, SeaBorn, Matplotlib, Linux, Docker, Nginx, Ngrok, GitHub Actions, MySQL, PostgreSQL, LLM Agents, MLOps, Vision Language Models, Prompt Engineering, RAG, Web Crawling, WebSockets, System Design, Agile Development, Google Cloud Platform, Problem Solving, Teamwork, Technical Writer, Leadership, Independent Research, Vietnamese, English |
| Portfolio | https://github.com/nguyenvmthien |
| LinkedIn | https://linkedin.com/in/minh-thien |
| GitHub | https://github.com/nguyenvmthien |

## About

```text
I've built AI systems spanning meeting intelligence, retrieval-augmented question answering, and GPU-accelerated deep learning.

For Meeting AI Agent, I developed an assistant that turns meeting audio into diarized transcripts, structured summaries, and assigned action items. I built its asynchronous backend with FastAPI, Celery, PostgreSQL, Redis, Docker, and Google Calendar integration, alongside MLOps evaluation, monitoring, feedback, promotion, and retraining workflows.

My ICMR'25 publication proposed a RAG system for open-ended lifelog question answering using embedding retrieval and LLMs without fine-tuning, achieving 94.35% Recall@20 and 39.54% ROUGE-L on 14,187 QA pairs. I also implemented a CUDA autoencoder with custom convolution, pooling, and backpropagation kernels, increasing throughput 3.25× and reducing training time by 69%.

I've also led end-to-end development of a florist e-commerce platform with Next.js, MongoDB Atlas, REST APIs, and Cloudinary. I'm a five-time Academic Excellence Scholarship recipient and a Kaggle AI Mathematical Olympiad Silver Medalist.
```

## Experience

### CUDA Developer

Autoencoder with CUDA. Sep 2025 - Nov 2025

```text
Implemented a CUDA-based autoencoder using C++, CUDA, with custom kernels for convolution, pooling, and backpropagation. Increased training throughput by 3.25x and reduced total training time by 69%.
```

Skills: C++, CUDA, Convolution, Pooling, Backpropagation, Performance-Optimization

### Full-Stack Developer, Leader

Lombreflower. Jun 2025 - Jul 2025

```text
Led end-to-end development of a florist e-commerce platform using Next.js, MongoDB Atlas, REST APIs, and Cloudinary. Delivered a production-ready system with responsive UI/UX and smooth product-service workflows.
```

Skills: Next.js, MongoDB-Atlas, REST-APIs, Cloudinary, Leadership, UI-UX

### AI Engineer, Backend Developer

Meeting AI Agent. Feb 2025 - May 2025

```text
Developed an AI meeting assistant that converts meeting audio into diarized transcripts, structured summaries, and worker-assigned action items. Built a scalable backend using FastAPI, Celery, PostgreSQL, Redis, Docker, and Google Calendar integration.
```

Skills: fastAPI, Celery, PostgreSQL, Redis, Docker, Google-Calendar, MLOps, Evaluation, Monitoring, Retraining

## Education

### University of Science

Bachelor of Information Technology, Information Technology. 2022 - Present. Grade: 3.9/4.0

Activities and societies: Five-time recipient of Academic Excellence Scholarship, Faculty of Information Technology, HCMUS.

```text
Pursuing a Bachelor of Information Technology with a GPA of 3.9/4.0, expected to graduate in 2026.
```

## Tech stack

- Google Cloud Platform
- GitHub Actions
- NumPy
- Pandas
- PySpark
- MySQL
- PostgreSQL
- OpenCV
- JavaScript
- Python
- C++
- PyTorch
- scikit-learn
- ExpressJS
- FastAPI
- Linux
- Docker
- NGINX
- Airflow
- CUDA
- SQL
- Ngrok
- Seaborn
- Matplotlib

To contact Thien, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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