Verified recordSoftware Development

Dong Shu

Master in Northwestern University; Machine Learning Engineer at Bridge Legal

Based in Starkville, United States

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Seniority

Other

Department

Other

Location

Starkville

Industry

Software Development

Company size

123

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Email

1 credit

d•••••••@bridgelegal.com

Phone

5 credits

+1 ••• •••• ••••

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Background

About Dong Shu

EDUCATION Northwestern University, Evanston, Illinois Master of Science in Computer Science Anticipated 12/24 Cumulative GPA: 4.00/4.00 Relevant Courses: Deep Learning for NLP, AI for Science, Reinforcement Learning, Deep Learning, Intro to AI, Agile Software Development, Connected and Autonomous Vehicle, Natural Language Processing, Machine Learning Rutgers University, New Brunswick, New Jersey Bachelor of Science in Computer Science Graduated 06/23 Cumulative GPA: 3.652/4.00 Honor: Cum Laude Relevant Courses: Machine Learning Principles, Artificial Intelligence, Design and Analysis of Computer Algorithms, Internet Technology, Software Methodology, Computer Architecture, Data Science, Data Structures RELEVANT EXPERIENCE Bridge Legal, Chicago, Illinois AI Tech Intern 11/23 – 04/24 • Law Language Model: Preprocessed large legal data. Then instruction finetuned Gemma to perform multi-tasks: Legal Judgment Prediction, Precedent Case Recommendation and Similar Case Retrieval. • Advance Data Analysis Assistant: Integrated GPT Assistant API with company’s software, streamlining tabular data analysis process. • AI Phone Call Assistant: Developed a seamless integration of Twilio’s voice assistant with GPT assistant, creating a real-time AI-driven phone call task system. • PDF Analysis Assistant: Implemented Optical Character Recognition (OCR) to convert scanned PDFs into text for subsequent in-depth text analysis. MaxSense Technology, Shanghai, China AI Deep Learning Algorithm Intern 06/23 – 08/23 • Developed a deep CNN model for Scene Object Recognition & Classification in mining areas, successfully identifying vehicles, pedestrians, and traffic signs with a 94.33% accuracy, and 59ms/step inference speed. WLKATA, Hackensack, New Jersey Robotic Arm Programmer 05/22 – 05/23 • Tangram: Developed a Tangram-solving program directs a robotic arm to solve puzzle. • Angle Adjustment: Developed angle-adjustment program to optimize block orientation on conveyors. • Color & Shape Classification: Developed a classification system to sort blocks by color and shape. • Blocks Targeting: Developed targeting program to enable a robotic arm to pick up specific blocks. LEADERSHIP Advance Women in Computer Science (AWiCS) Organization, Rutgers University, New Jersey Peer Tutor 09/22 – 05/23 • Provided academic support to students taking Intro to Computer Science and Data Structures courses, assisting students with homework and class assignments.

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