Titipon Tawong

I am a fourth-year Software Engineering student who loves building end-to-end applications from the ground up. I enjoy combining modern full-stack development with applied machine learning to solve real-world problems. I am seeking an internship to learn systematic corporate workflows and turn my independent building skills into practical solutions.

Course Project at FoodAssemble (2026-01 – 2026-03)

• Developed a Next.js web application for recipe searching, integrating Elasticsearch and BM25 scoring logic to deliver highly accurate search results.
• Implemented a Flask backend featuring a personalized recommendation system powered by machine learning and collaborative filtering (SVD) for enhanced content discovery.

Course Project at PlayerxG (2026-01 – 2026-03)

• Developed an AI scouting engine that predicts Expected Goals (xG) by analyzing match commentary.
• Implemented a Python backend to process textual match data and generate advanced tactical metrics and deploy this project via streamlit.

Independent Project at Fraud-Scout (2026-07 – 2026-08)

• Built an AI-powered fraud detection app (Streamlit, Scikit-learn, PyThaiNLP) to identify suspicious retail transactions using NLP matching.
• Engineered a secure, in-memory data pipeline (Pandas, NumPy) to automatically detect anomalies like price manipulation and ghost transactions.

Course Project at The Social Anti-Fake News System (2025-09 – 2025-11)

• Developed an interactive, Reddit-style social discussion platform using Vue.js and Firebase, extending a basic voting system into a full forum with dynamic comment ranking based on user upvotes.
• Engineered a robust component-based backend using Java and Spring Boot to manage complex interactions (users, news threads, and votes), and successfully deployed the end-to-end application on Microsoft Azure.

Bachelor of Science in Software Engineering – Chiangmai University (2027-03)