Ai Engineer Computer Vision

ĐẶNG VĂN HIỂN

AI ENGINEER

+84-812****** github.com/hiendang7613

*******@*****.*** linkedin.com/in/hiendang7613

**/**/**** **************, *** Phu District, HCMC

PROFESSIONAL PROFILE

AI researcher with 3 years’ experience building production-ready deep-learning systems in computer vision, NLP, and speech. With a background in AI, I'm eager to collaborate with other experts in order to explore the full potential of deep learning. EDUCATION

VNUHCM University of Science, 2023-2025

Master of Computer Science

VNUHCM University of Science, 2018-2022

Bachelor of Information Technology

SKILLS

● Technical Background - Solid foundation in computer science with a strong interest in AI application and deep learning research.

● Programming Languages - Python, C++, SQL.

● Frameworks & Libraries - TensorFlow, PyTorch, Hugging Face, LangChain, OpenCV.

● AI & Machine Learning Techniques:

Training and fine-tuning techniques (SFT, SSL, PEFT )

Optimize model (quantization, distillation ) and serving techniques (ONNX, vLLM )

Experiment in Traditional AI and Gen AI (in computer vision, NLP, speech,..)

● Research & Analytical Skills:

Conducting literature reviews and surveys on state-of-the-art AI models.

Customizing, fine-tuning, and training advanced AI models.

Evaluating, interpreting, and analyzing experimental results.

Problem-solving and technical writing.

● AI Domains Experience:

Computer Vision - Image Generation, Object Detection and Segmentation. Experienced in applying and customizing vision foundation models and using OpenCV.

Natural Language Processing (NLP) - Use LLMs, and current SOTA models. Prompt Engineering, Instruction Tuning, build LangChain pipelines.

Speech Processing - ASR streaming system, speaker verification, audio streaming pipeline. WORK EXPERIENCE

Fujinet R&D Center

May 2025 - Now AI Team Leader

● Embryo IVF - designed and developed an IVF analysis pipeline leveraging sota deep learning models for time-lapse embryo monitoring and evaluation, significantly enhancing prediction accuracy and clinical outcomes.

● Meeting Assistant - built a real-time meeting translation system using a streaming pipeline with ASR, language ID, speaker diarization, and neural translation, enabling low-latency multilingual transcription and translation during live meetings. July 2022 - April 2025 AI Engineer

● Cell Image Generation – built a multi focal synthesis of realistic embryo cell and pronuclei images from cell layouts, providing data for segmentation models.

● F.Smart Door - built a masked face verification system for a secure door system.

● Human Resource Management - developed an HRM suite featuring multilingual OCR, transformer-based NER, and a cv–job matching engine across diverse projects.

● FAQ System - implemented an enterprise-grade QA service powered by RAG and LLMs, providing precise, context-aware answers to internal FAQs and cutting response times.

● Floorplan – built a pipeline to turn photographed floorplan sketches into structured JSON/CAD for drafting processes, upgrading the sota model to further improve accuracy and efficiency.

● Cardcaddy – built a multilingual receipt-understanding that combines OCR, layout analysis, and domain-tuned key-value extraction to convert receipts and invoices into structured data. University of Science Student

October 2018 - October 2022

● Automatic Karaoke generation system - an app auto karaoke generating from a youtube video, a pipeline: video crawling, voice-music separating, lyric-alignment and karaoke rendering.

● 3d mesh generation project - generation with condition, use CNN, Transformer, Tensorflow.

● Other small AI projects: DDPM - implement and improve image diffusion model, fake news detection web, detect diseased leaves,..

OTHER PUBLICATIONS AND AWARDS

● Dang, H., & Nguyen, T. (2025). Struct-KGS2S: a structural context-based sequence-to-sequence model for link prediction in knowledge graphs. Knowledge and Information Systems, 1-20, 10.1007/s10115-025-02364-y.

● Mask-rf-detr: Transformer-based Instance Segmentation with RFDETR

● TOEIC 580 intermediate

● Google Certified Professional Machine Learning Engineer

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