👋

Hello, my name is

Nattarach (Rise) Larptaweepornsup

📌 Dual CS & Data Science @ UW-Madison (3.925 GPA)

âš¡ Software Engineer | Data Solutions Builder

🚀 Actively seeking full-time SWE roles starting May 2025

profile_bgprofile_circle
tech
tech
tech

Learning by Doing

Machine Learning / Deep Learning

Machine Learning / Deep Learning

Implemented various Machine Learning and Deep Learning models: Image Classification, Regression, Clustering, etc.

Kaggler

Kaggler

Achieved Top 0.93% worldwide ranking on Kaggle through publishing and presenting comprehensive data analysis, visualization, and ML model predictions from diverse datasets

Developer

Developer

Versatile developer with expertise in Python, Java, and JavaScript, delivering scalable web apps and optimized data systems. Experienced in machine learning, data visualization, and collaborative cross-functional projects driving innovation and business growth

Data

Data

Completed end-to-end data science projects (Python, Pandas, Matplotlib, scikit-learn, TensorFlow, Keras, NumPy, Flask, FastAPI, Docker, Plotly, Streamlit, OpenCV, Git, Heroku, Google Colab)

My Projects Section

Web App
Mobile App
Data Science
Computer Vision
Blog
Certificates
All

Helios Project

Worked with Helios to create an Analytics page for the solar arrays on UW-Madison's campus.

Web App

Harvard Humanitarian Initiative (HHI) Project

Worked with the Human Security and Technology team at Harvard and DSSD to develop an interactive map

Web App

Skills & Experiences

JavaScript

JavaScript

scikit-learn

scikit-learn

Firebase

Firebase

MySQL

MySQL

Plotly

Plotly

Java

Java

React

React

Streamlit

Streamlit

REST API

REST API

Git

Git

OpenCV

OpenCV

Docker

Docker

Pandas

Pandas

Seaborn

Seaborn

Tensorflow / Keras

Tensorflow / Keras

Flutter

Flutter

Python

Python

Heroku

Heroku

Matplotlib

Matplotlib

Looker Studio

Looker Studio

2021

1st Place Computer Vision Competition

TH, Botnoi

1st place (out of 10 teams) / Developed an AI-powered Chatbot that can classify 50 categories of Thai food

Kaggle Notebook Expert Badge

Kaggle

Publish and present the results of exploratory data analysis and visualization from various datasets and models

Kaggle Discussion Expert Badge

Kaggle

Providing useful learning resources in computer science and data science to Kaggle community

1st Place CheeseHacks Hackathon

USA, University of Wisconsin-Madison

1st place (out of 25 teams) / Collaborated with 4-person team to build a web-app for deaf-blindness impaired users under 24 hours

Dean's List

USA, University of Wisconsin-Madison

4.00 GPAX

2022

Research Assistant at Skunkworks

UW-Madison Department of Materials Science and Engineering

Developed an instance segmentation model to detect trash with high precision rate using TACO dataset and YOLOv7

Dean's List

USA, University of Wisconsin-Madison

4.00 GPAX

2023

Full Stack Developer

USA, Data Science For Sustainable Development (DSSD)

Working with Harvard Humanitarian Initiative team and DSSD, developing an interactive map with features like stakeholder markers and search functionality for atrocity prevention and peacebuilding spatial analysis. Worked with developers to create a real-time web dashboard for UW-Madison's Sustainability Office, tracking and analyzing solar panel metrics. Developed Firebase functions for efficient data processing from Cloud Storage to Firestore, and implemented frontend JavaScript functions for dynamic data visualization.

Data Scientist Intern

TH, Botnoi Consulting Co.,Ltd.

Pioneered BigQuery integration and automated MongoDB data pipeline for Botnoi Voice, enabling real-time analytics and predictive modeling. Improved predictive accuracy by leveraging BERT with Transfer Learning, raising F1-score from 63% to 75%. Developed a secondary BigQuery pipeline for dynamic customer segmentation. Led a team of 8 interns to transform data into actionable insights using Looker Studio, enhancing targeted advertising and business intelligence.

Dean's List

USA, University of Wisconsin-Madison

3.9 GPA

2024

Software Engineer Intern

USA, Epistemic Analytics

Working on Codey and ENA webtools

Dean's List

USA, University of Wisconsin-Madison

3.9 GPA

Background

I’ve learned that technology’s greatest potential isn’t only in the systems it builds but in the people it empowers. My work at Epistemic Analytics taught me how carefully designed systems can free researchers from tedious manual data labeling—reducing that burden by 96%—so they can focus on groundbreaking discoveries. These numbers tell a story of technical achievement, but their deeper value lies in the lives they touch: people having the time, tools, and insights to do what matters most.

The real motivation behind my work lies in the broader impact it serves. From collaborating on an interactive map that helps Harvard researchers visualize humanitarian efforts, to developing a solar dashboard that encourages communities in Wisconsin to invest in renewable energy, I’ve seen how technology can ripple outward to create positive change. I’m also proud of improving trash-detection accuracy by 10% for environmental project and winning first place for developing a Braille-based communication app designed to assist deaf-blind users.

Every line of code I write stems from a desire to make the world a better place. Computer Science and Data Science allow me to transcend physical borders and address global challenges, creating solutions that ripple outward to improve lives in ways both small and monumental. It is through this work that I hope to contribute meaningfully to a brighter, more hopeful future—one where technology becomes a tool for problem-solving and a catalyst for human progress.