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🔭 I’m currently work at FounderWayAI as an AI Engineer, and I'm also working on building a stock trading bot and developing HelpBuddy, a startup that assists people undergoing eviction by providing social service recommendations and legal support resources.

🌱 I’m currently learning about reinforcement learning and Markov decision processes.

👯 I’m looking to collaborate on AI-driven projects, social impact tech solutions, or anything involving innovative data science.

🤔 I’m looking for full-time jobs in roles like AI Engineer, Front-End, Full-Stack Developer, Data Scientist or Machine Learning Engineer.

📫 How to reach me: [email protected]

💻 LinkedIn: https://www.linkedin.com/in/kairuo-yan

📜 View my Resume

😄 Pronouns: She/Her

⚡ Fun fact: I’m passionate about tech in communication and humanities, and I have a pet rabbit named Luna!

Machine-Learning-for-Surface-Coating-Optimization : Used R and ML skills like classification, regression and optimization to train models to predict the fraction of corroded surface.

Stack Overflow-Inspired Web Application: This project aims to design and implement a full-stack web application with functionality inspired by Stack Overflow. In addition, we practices in software design and modularization, utilized end-to-end testing and implemented a CI pipeline.

Fake News Lab: Analyzing Covid-19 Myths : This project aims analyze the most discussed topics and keywords surrounding Covid-19 myths using ML techniques. We employed Latent Dirichlet Allocation (LDA) and text summarization methods to extract key insights from a dataset of Covid-19 related discussions.

Graphical Image Manipulation and Enhancement : designed a view for your image processing application, featuring a graphical user interface, which allow a user to interactively load, process and save images. use Java Swing to build the graphical user interface.

Formula-One-F1-Database-Management-System:Created a SQL relational database that captures and organizes extensive data related to Formula One racing. The database stores information and offers users the ability to query and analyze various aspects of the sport in the Python application.

Credit Card Fraud Detection Using Clustering and Classification Models:This project explore factors that differentiate between fraudulent and non-fraudulent transactions using ML technique. By applying clustering and classification models, ensemble learning, and feature engineering, we seek to identify key patterns and variables that are most indicative of fraudulent behavior.