Yicheng (Jeffrey) Bao

San Diego, CA • 760-***-**** • adc9q1@r.postjobfree.com • linkedin.com/in/ybao/ • github.com/byc980317 EDUCATION

Carnegie Mellon University 08/2020 - 05/2022

Master of Science in Artificial Intelligence and Innovation University of California, San Diego 09/2016 - 12/2019 Bachelor of Science, Major : Mathematics - Computer Science, Minor : Cognitive Science Major GPA : 3.93 / 4.0 SKILLS

Programming Language :Java, Python, C++, SQL, JavaScript, Bash Script, Scala, HTML, CSS, MATLAB, R Tools : React, MySQL, MongoDB, AWS, Spark, Flask, Docker, Git, Jira, TensorFlow, PyTorch, Scikit-learn, OpenCV Machine Learning :Traditional ML, NN & Deep Learning, Computer Vision, Natural Language Processing EXPERIENCES

NTENT Carlsbad, California

Software Engineer Intern - Machine Learning 01/2020 - 05/2020

• Developed a teaching application via React and MySQL to save queries, correct predictions, and label data for models

• Trained and deployed multiple models to detect intents and entities of queries via spaCy, Docker, and Kubernetes

• Implemented RESTful API handling HTTP Request via Flask to get, post, and delete predictions in multiple domains

• Constructed an embedding service for queries and boosted efficiency of original pipeline for prediction by 60%

• Formulated over 100 unit tests for APIs via Pytest and reached over 98%test coverage Coupa Software San Diego, California

Software Engineer Intern - Data 06/2019 - 08/2019

• Created a website using Django and MySQL for Data Science Team to access and modify data analysis results

• Enhanced performance of a Name Normalization System via Scikit-learn, and increased company's revenue by $0.25M

• Redefined the Business Spend Index with customer success team and improved 0.62 correlation with US economy

• Visualized and analyzed company’s sales data through D3.js and Jupyter Notebook UC San Diego La Jolla, California

Machine Learning and Programming Tutor 04/2019 - 06/2019

• Explained algorithms, data structures, and usage of Python to students and received over 90% positive feedback

• Designed exams and assisted over 400 students to implement Machine Learning Models from scratch SAIC Motor Shanghai, China

Machine Learning Engineer Intern 06/2018 - 09/2018

• Retrained an efficient face detection model (50ms/image)via TensorFlow and improved 3% precision rate

• Constructed a light-weighted neural network with 96%accuracy to do age and gender classification via TensorFlow

• Augmented image datasets by cropping, flipping and coloring via OpenCV for a taxi application PROJECTS

World of Battle Tank 04/2020 - 06/2020

• Created a fun video game of battle tanks and developed multiple fancy landscapes based on Unreal Engine 4

• Simulated movements and control systems of tanks in real world to improve user experience via C++ Unilink 02/2019 - 09/2019

• Developed (with a team of 15) a rental app to find houses and roommates for via React Native, DynamoDB, and AWS

• Designed a Recommendation System using similarity model via Pandas, and have over 100 downloads on Apple store Amazon Purchase Predictor 10/2018 - 11/2018

• Analyzed users' purchase history to identify overall popular items using NumPy and Matplotlib

• Boosted model's accuracy through collaborative filtering and ensemble learning, and ranked top 2%on leaderboard HONORS

Provost Honor 06/2017 - 12/2019

Webroot Coding Challenge 4th place among over 800 participants 01/2019

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