# Renzhi Xun

> SDE @ Bloomberg | SDE Intern @ DoorDash | Master of Info System Management(MISM) @ CMU

Location: New York, New York, United States
Profile: https://flows.cv/renzhi

## Work Experience
### Software Engineer @ Bloomberg
Jan 2023 – Present | New York City Metropolitan Area

### Software Development Intern @ DoorDash
Jan 2022 – Jan 2022 | San Francisco Bay Area
• Designed and implemented an endpoint for restaurants to edit menu items on the handheld devices
        • Built RESTful APIs to editing menu items using Django REST framework
    • Developed front-end interface for user to edit menu items using React and React Native
• Collaborated with the API team to build several GET APIs to query the PostgreSQL

### Teaching Assistant @ Carnegie Mellon University
Jan 2022 – Jan 2022 | Pittsburgh, Pennsylvania, United States
• Teaching Assistant for 17683 Data Structure for Application Programmer.
• In charge of holding office hours, and grading homework and quizzes.

### Computer Vision Intern @ DMAI
Jan 2020 – Jan 2021 | Guangzhou, Guangdong, China
• Developed CRNN algorithm development via PyTorch of OCR handwritten character recognition.
• Tested with specific scenario of homework answer text segmentation and identification.
• Designed testing programs to generate test result of every new version of algorithm automatically.

### Natural Language Processing Intern @ Tencent
Jan 2020 – Jan 2020 | Guangzhou, Guangdong, China
• Applied NLP technology to implement corpus-based classification of conversation with AI chatbots. 
• Designed chatbot system for Game For Peace, a mobile game, back-end using Redis.
• Used Tensorflow to realize LSTM models and trained 2 million pieces of texts with accuracy of 89%.
• Utilized SQL to extract and analyze the customer churn persona data from AI chatbots.
• Built and trained customer churn model based on logistic regression with accuracy rate of 73%.

### Data Science Intern @ Ericsson
Jan 2020 – Jan 2020 | Guangzhou, Guangdong, China
• Implemented root cause analysis by realizing “HotSpot” and “iDice” algorithms.
• Identified anomalies automatically from hundreds of thousands of user logs from MySQL.
• Realized Reinforcement Learning algorithms, including Q-learning, SARSA, DQN with Python.
• Applied them to energy-saving prediction in base station with an accuracy over 90%.
• Built RNN models using PyTorch and applied them to energy-saving prediction in base station.


## Education
### Master of Science - MS in Management Information Systems, General
Carnegie Mellon University

### Bachelor of Engineering - BE in Computer Science
Sun Yat-sen University

### High School Diploma
High School Affiliated to Nanjing Normal University


## Contact & Social
- LinkedIn: https://linkedin.com/in/renzhi-xun

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Source: https://flows.cv/renzhi
JSON Resume: https://flows.cv/renzhi/resume.json
Last updated: 2026-03-29