# Fan Y. > Software Engineer at Waymo Location: San Francisco Bay Area, United States Profile: https://flows.cv/fany 7 years on Machine Learning, Computer Vision. Deep research on Foundation Model, Multi-model Language Model (LLM / VLM). Make self-driving happen! ## Work Experience ### Senior Software Engineer @ Waymo Jan 2020 – Present | Mountain View, California, United States Multi-modal Foundation Model Pretraining VLM (Vision Language Model) Generative AI for autonomous driving ### Software Engineer - Machine Learning @ Inceptio Jan 2019 – Jan 2020 | Fremont, California 1. Worked for the Level-3 Autonomous Driving project as a member of computer vision team 2. Responsible for image-based object detection and lane detection; built the entire 2D object detection pipeline 3. Implemented SSD, Yolov3, and Faster-RCNN object detection models and LaneNet, S-CNN models for lane detection; benchmarked with different backbones like VGG16/VGG19, Darknet53, FPN, ResNet50 and ResNet101 4. Pruned and quantized neural networks and implemented TensorRT runtime pipeline, which saved 40% of inference time ### Software Engineer - Machine Learning @ Siemens Jan 2018 – Jan 2018 | Suzhou, Jiangsu, China 1. Built and modified applications for implementing machine learning algorithms on embedded device 2. Implemented yolo v3 deep learning algorithm for real-time vehicle detection and tracking and license plate recognition 3. Trained the CNN model based on DARKNET neural network framework and reached recall over 90% 4. Created prototype for detecting human key points, gesture and OCR based on TensorFlow framework ### Student Researcher @ Digital Video and Multimedia (DVMM) lab Jan 2018 – Jan 2018 | Greater New York City Area 1. Conducted event specific multimodal pattern mining, topic modeling and data mining research; extracted city events from Twitter text data using Hidden Markov model, gaussian mixture model and K-means algorithms 2. Implemented Word2vec model and N-gram model for semantic interpretation and refined the corpus on twitter data 3. Used rank constrained regression and fully convolutional networks methods to understand traffic pattern from large-scale web camera videos with low frame rate and low resolution; conducted feature extraction based on OpenCV ### Data Engineer Intern @ Center for National Resource Economic Studies Jan 2017 – Jan 2017 | Beijing City, China 1. Designed and managed data analysis pipeline; built SVM and Random Forest models to analyze economic growth 2. Increased accessibility and usability of customer data by redesigning data visualization techniques to include statistical graphs and information graphics and provided data analysis report including data visualization in tableau 3. Built regression model to analyze relationships between different economic indicators and achieving 10% more accurate prediction of performance than previous years ### Software Engineer Intern @ Tarena International Inc Jan 2016 – Jan 2016 | Xi'an, China Assisted employer to design and develop Net China Telecom Operation Support System. Using Java to design user interface, assisted in managing database and provided programming support. ### Data Engineer @ Wafer Works Co. Jan 2016 – Jan 2016 | Taoyuan County, Taiwan Monitoring production data and detected low yield rate problem for manufacturing silicon wafer. Applied statistical models (decision tree, KNN, etc.) to find the cause of low yield rate in manufacturing and provided statistical advice to improve. ## Education ### Master's Degree in Statistics Columbia University ### Bachelor's Degree in Statistics Xi'an Jiaotong University ## Contact & Social - LinkedIn: https://linkedin.com/in/fanyangfelix --- Source: https://flows.cv/fany JSON Resume: https://flows.cv/fany/resume.json Last updated: 2026-03-29