hello, I'm
Vu Thanh Tuyen SuZeAI

AI RESEARCH ENGINEER

Specializing in AI research engineer with extended capabilities in system design, full-stack development, and problem solving.

20+

AI Projects

N+

Research Papers

2+

Years Experience

Vu Thanh Tuyen (SuZeAI)

AI Research Engineer

I am a passionate and dedicated AI researcher engineer with a strong background in Information Technology and Artificial Intelligence. I thrive on continuous learning and welcome challenges that push me to grow.

My expertise spans beyond traditional AI research engineer into complementary domains:

System Design

Creating scalable architectures and optimizing system performance for AI applications

Full-Stack Development

Building complete applications from backend infrastructure to intuitive user interfaces

Problem Solving

Analytical thinking and innovative approaches to tackle complex technical challenges

My proactive approach and commitment go beyond the typical 9-to-5, as I am deeply invested in achieving goals and driving innovation. I look forward to making meaningful contributions and creating positive impacts in the tech community.

EXPERTISE
AI Research Engineer Areas

Specializing in cutting-edge AI technologies with a focus on practical applications
that transform complex data into intelligent solutions.

Computer Vision

Image recognition, object detection, and scene understanding algorithms for visual data analysis.

NLP

Text analysis, sentiment detection, and language understanding for automated interpretation.

Reinforcement Learning

Decision-making algorithms that learn optimal behaviors through environment interaction.

Large Language Models

Fine-tuning and optimizing modern LLMs for specialized applications and workflows.

TECHNICAL PROFICIENCY
AI Expertise Spectrum

Specialized in cutting-edge AI technologies with expertise in multiple domains

Computer Vision
89%

Expertise in object detection, segmentation, and recognition using CNN architectures and transformers

Natural Language Processing
83%

Text classification, sentiment analysis, entity recognition, and language generation capabilities

Reinforcement Learning
95%

Implementing Q-learning, policy gradients, and deep RL algorithms for complex decision processes

Large Language Models
90%

Fine-tuning and prompt engineering for state-of-the-art language models

Machine Learning
92%

Supervised, unsupervised learning techniques for classification and regression problems

MLOps & Deployment
85%

Model deployment, monitoring, and CI/CD pipelines for machine learning

PROJECTS
AI Research Engineer Portfolio

Showcasing innovative AI solutions across various domains and challenges

Computer Vision Project
Object Detection System

Real-time object recognition using YOLOv5

NLP Project
Sentiment Analysis API

Text analysis for customer feedback

Reinforcement Learning Project
RL Game Agent

Self-learning agent for strategic gameplay

Deep Learning Project
Neural Style Transfer

Artistic rendering using GANs

LLM Project
LLM Fine-tuning

Domain-specific language model adaptation

Data Science Project
Predictive Analytics

Time-series forecasting for business intelligence

TESTIMONIALS
Expert Feedback

Trusted by professionals in the field of AI and machine learning research

RESEARCH & INSIGHTS
AI Knowledge Sharing

Exploring emerging trends and sharing insights in the rapidly evolving field of artificial intelligence

Computer Vision
Advances in Transformer-Based Object Detection
Vu Thanh Tuyen | April 15, 2025

Exploring how transformer architectures are revolutionizing computer vision tasks with improved attention mechanisms and feature extraction capabilities.

Read Article
Natural Language Processing
Efficient Fine-tuning Strategies for LLMs
Vu Thanh Tuyen | March 28, 2025

Comparing the effectiveness of various parameter-efficient fine-tuning methods like LoRA, QLoRA, and adapter-based approaches for domain adaptation.

Read Article
Reinforcement Learning
Multi-agent Systems for Complex Problem Solving
Vu Thanh Tuyen | February 10, 2025

Investigating collaborative reinforcement learning approaches where multiple agents work together to solve complex problems with distributed decision making.

Read Article
View All Articles

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Contact Information

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Contact Details
Location

Tran Phu - Mo Lao - Ha Dong - Ha Noi

Phone

0896023142

Email

suzeai545@gmail.com

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