I am an AI/ML enthusiast, Data Science student, and aspiring AI Engineer with a strong interest in Deep Learning, Large Language Models, Quantitative Finance, and Intelligent Agent Systems.
My goal is to bridge research and real-world applications by building AI systems that solve practical problems in finance, automation, and decision support.
Currently, I focus on:
- Deep Learning and Neural Network Architectures
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic Workflows
- Financial Analysis and Quantitative Research
- Machine Learning Engineering
- Data Science and Analytics
Areas of Interest
- Deep Learning
- Computer Vision
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Transformer Architectures
- Multi-Head Attention
- Siamese Networks
- Fine-Tuning and Instruction Tuning
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Model Evaluation
- MLOps Fundamentals
Experience with:
- RAG Pipelines
- Vector Databases
- Document Processing
- Agentic Workflows
- Financial AI Assistants
- Tool Calling
- Search Agents
- Multi-Agent Architectures
- Knowledge Retrieval Systems
- Prompt Engineering
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Statistical Analysis
- Time Series Analysis
- Financial Data Analysis
- Data Visualization
Tools:
- Jupyter Notebook
- Google Colab
- Matplotlib
- Plotly
- Power BI
Concepts:
- Object-Oriented Programming (OOP)
- Design Patterns
- Software Architecture
- Data Structures & Algorithms
- REST APIs
- Version Control
- Agile Development
Frontend:
- HTML
- CSS
- JavaScript
Backend:
- Python
- FastAPI
- Flask
AI-powered platform capable of:
- Searching and retrieving company filings
- Extracting financial statements
- Building structured financial databases
- Retrieval-Augmented Generation (RAG)
- Intelligent financial question answering
- Automated business analysis
Currently exploring:
- Multi-Agent Systems
- Agent Memory
- Tool Usage
- Planning and Reasoning
- Autonomous Research Agents
- Financial Research Agents
- Large Language Models
- AI Agents
- Deep Learning
- Quantitative Finance
- Algorithmic Trading
- Retrieval Systems
- Reinforcement Learning
- Adaptive Control Systems
- Time Series Forecasting
- Advanced LLM Fine-Tuning
- Agentic AI Systems
- Distributed AI Architectures
- Quantitative Trading Research
- Deep Learning Research Papers
- MLOps and Model Deployment
- LinkedIn: https://www.linkedin.com/in/hieu-phan-604a7330b/
- Email: hphan5283@gmail.com
"Building intelligent systems that combine research, engineering, and practical impact."

