# Yunfan Yang > Software Engineer at Warp Location: San Francisco, California, United States Profile: https://flows.cv/yunfanyang Building cool things with Warp! ## Work Experience ### Software Engineer @ Warp Jan 2021 – Present ### Software Engineer @ Recruit Co.,Ltd. Jan 2019 – Jan 2021 | Tokyo, Japan Building a chatbot api on Microsoft Teams for interactive management using Node.js. ### Machine Learning Engineer @ Recruit Co.,Ltd. Jan 2018 – Jan 2019 | Tokyo, Japan Fine-tuned the state-of-the-art natural language processing (NLP) model BERT to over 80% accuracy in the task of screening resumes written in Japanese, a 10% increase upon the previous model. Built the pipeline for training, tuning and deploying the model on the API endpoint that has served over 10,000 resumes with Docker, Sagemaker and Tensorflow Serving. ### Software Engineering Intern @ LinkedIn Jan 2020 – Jan 2020 | Sunnyvale, California ### Data Science Intern @ Lana Labs GmbH Jan 2019 – Jan 2019 | Berlin Area, Germany Built an interactive dashboard visualizing automated process mining data using R and Shiny. Achieved 92% accuracy on predicting annual water usage tendency in Germany using LightGBM. ### Web Developer @ Do The Samurai Jan 2018 – Jan 2019 | Tokyo, Japan Built a web application utilizing heat maps to visualize the geolocation of all temples and shrines in Japan, attracting over 30,000 users in two weeks and resulting in a 400% increase in total web page views. Designed and developed an online guide detailing shrine etiquette for foreign travelers to tackle the problem of disrespectful behavior in Japanese shrine. Rewrote the backend of hotokami.com from CakePHP to Ruby on Rails and used eager loading with caching to reduce the page loading speed by over 70%. ### Software Engineering Intern @ Microsoft Jan 2019 – Jan 2019 | Hyderabad Area, India Built a prototype of a wearable device on Arduino under Microsoft Garage, India ### Machine Learning Research Intern @ Hanyang University Jan 2018 – Jan 2018 | Seoul, Korea Implemented Deep Neural Network (DNN) for the classification of signal (standard model Higgs boson with a top quark-antiquark pair - tth(bb)) and background (direct decay to quark-antiquark final state - ttbb) at a center-of-mass energy √s = 13 TeV ### Machine Learning Engineer @ SAFECAST Jan 2018 – Jan 2018 | Tokyo, Japan Built a restful api that utilizes machine learning algorithm to auto-detect the anomalies in the radiation data uploaded by the Safecast users ### Outreach and Data Management Intern @ Hasso Plattner Institute of Design at Stanford ( d.school ) Jan 2017 – Jan 2018 | San Francisco Bay Area Built the sign-up data tracking pipeline using Python on Jupyter notebook that automatically implements data cleaning and statistical evaluation on the dataset Implemented machine learning models to help improve marketing strategy by predicting future growth trend resulting in over 30% increase in participation number ## Education ### Bachelor's degree in Computer Science Minerva University ## Contact & Social - LinkedIn: https://linkedin.com/in/yunfan-yang-46824b153 --- Source: https://flows.cv/yunfanyang JSON Resume: https://flows.cv/yunfanyang/resume.json Last updated: 2026-03-29