I’m an AI/ML Engineer Intern at AIdanBio in Daejeon, South Korea, currently developing intelligent biomedical knowledge retrieval. I'm completing my B.E. in Electrical Engineering at Chungnam National University.

My work focuses on RAG pipelines, LangChain-based systems, and LLM-powered conversational AI — from vector search and prompt engineering to FastAPI backends and local model deployment with Ollama.

Research Interests

Retrieval-Augmented Generation (RAG); NLP; Prompt Engineering; LLM Evaluation; Conversational AI Systems; and efficient local LLM deployment.

Thura Win Kyaw

Thura Win Kyaw

AI/ML/Electrical Engineer

Iris Flower Classification

Python · SVM · Scikit-learn · PCA

Supervised SVM classifier with StandardScaler preprocessing and GridSearchCV hyperparameter tuning. Evaluated via accuracy, confusion matrix, and F1 score. Decision boundaries visualized with PCA; best model pipeline serialized for reuse.

Customer Segmentation

Python · K-means · Scikit-learn

Unsupervised K-means clustering on customer demographic data to identify actionable segments. Elbow method and silhouette analysis for optimal k selection. Trained model and scaler serialized for downstream deployment.

Text Classification

Python · NLP · TF-IDF · SVM · Logistic Regression

Multi-model text classifier with TF-IDF features across Naive Bayes, Logistic Regression, and SVM with GridSearchCV tuning. Evaluated with precision, recall, and F1. Model, vectorizer, and label encoder saved for deployment.

Quote Sentiment Analysis

Python · NLP · VADER · BeautifulSoup

End-to-end sentiment pipeline for short quotes — scraped with requests and BeautifulSoup, labeled with VADER, trained with Naive Bayes and Logistic Regression. Evaluated with confusion matrices and word cloud visualizations.

LLM Systems
RAG Pipelines, Agentic RAG, LangChain Orchestration, Conversational AI, Prompt Engineering, LLM Evaluation, Local LLM Deployment (Ollama)
Retrieval & Search
Vector Databases, Semantic Vector Search
Backend / Systems
FastAPI, API Development, AI Model Integration
Tools & Infrastructure
Git, GitHub, VS Code, MS Office, Google Workspace
Programming Languages
Python, C, MATLAB
Languages
Burmese (Native), English (Fluent), Korean (TOPIK 5)
Operating Systems
Windows, Linux, macOS
Dec 2024 – Present

AI, Software & Prompt Engineer

AIdanBio · Daejeon, KR

  • Designed and maintained backend systems for AI model integration, API development, and database management.
  • Engineered and optimized prompts for LLMs to generate personalized, context-aware responses.
  • Developed and deployed RAG pipelines improving output accuracy for biomedical research workflows.
  • Built production-grade intelligent systems for life sciences applications.
Oct 2025 – Nov 2025

AI Software Engineer Intern

GRINDA AI · Daejeon, KR

Built an AI-powered Slack bot that automatically converts issue reports into structured GitHub issues using Claude AI and FastAPI, with auto-labeling, translation, and monitoring.

B.E. in Electrical Engineering

Chungnam National University · Daejeon, KR

Sept 2022 – Present