Applied AI & Data Developer
Building intelligent systems for finance, healthcare, and data-driven decision-making.
I'm an Information and Communication Technology graduate from Mahidol University with experience in applied AI, data analytics, machine learning, and dashboard development. I enjoy turning complex data into practical tools, especially where AI intersects with finance and healthcare.
- 🤖 Exploring agentic workflows, LLM applications, and reliable AI systems
- 📊 Interested in data engineering, financial analytics, and visualization
- 🏆 Google Data Center Hackathon 2025 winner
- 🌏 AI solution builder volunteer at the Asia Pacific Disaster Management AI Skills Jam with DataKind
- 💬 Thai native speaker and English communicator with a TOEIC score of 970
An ongoing financial research application combining agentic workflows, financial APIs, LLMs, and validation to produce more reliable answers.
Python LangChain TA-Lib Flask JavaScript Vercel
A Flutter-based medical decision-support application for skin-lesion classification, using supervised learning and active learning to improve model performance over time.
Python Flutter PyTorch Microsoft SQL Server Runpod Lightning AI
An interactive study of options data through visualizations of implied volatility, Greeks, put-call ratios, and open interest.
Live application · Python FastAPI PyTorch Cloudflare Runpod
An agentic AI workflow that analyzes financial data and generates structured insights using LangGraph and LangChain.
Python LangGraph LangChain Groq API Typhoon API TA-Lib
Languages: Python, SQL, HTML, Dart, Bash
AI and application development: PyTorch, LangChain, LangGraph, FastAPI, MCP, Flutter
Data and BI: Tableau, Alteryx, Microsoft SQL Server, MySQL
Platforms and tools: Docker, GitHub
I'm interested in applied AI, data, and intelligent-system opportunities. Reach me through LinkedIn or email.