Bingtao Liu

Ottawa,ON

Summary

Software Engineer with experience in cloud deployment, backend systems, and ML pipelines. Interested in joining Ericsson to contribute to next-generation network systems and smart infrastructure solutions.

Work History

Software Engineer (Intern)

Lüzhongyun Network Co., Ltd

11.2023 - 04.2024

Participated in database design, mainly responsible for designing the table structure and field types of the database. Used MySQL to build a data warehouse of the daily usage quantity of users. Used Superset to analyze data and generate highly visualized reports. Connected to the MySQL database using Python, read data, and utilized machine learning models.
Participated in the continuous development and maintenance of the enterprise mobile application (Lüzhongyun app). Improved page layout and enriched dynamic elements. Participated in team meetings, made improvements and developed new functions according to requirements. Improved code, optimized algorithms, increased the application loading speed and enhanced the user experience.

Education

Master - Software Engineering

Western University

London, ON

10.2023

Bachelor - Computer Systems Engineering

Carleton University

Ottawa

06.2022

Skills

Programming: Java, JavaScript, Python, SQL, C, C, HTML/CSS, LISP
Frameworks & Tools: React, Angular, Nodejs, Docker, Git, IntelliJ, VS Code, PyCharm
Cloud Platforms: AWS, Google Cloud, Azure

Database & Big Data: MySQL, MongoDB, PostgreSQL, SparkML, Airflow, Druid, Superset
ML & Data Analysis: TensorFlow, Keras, ARIMA, Scikit-learn, Pandas

Websites

https://www.linkedin.com/in/liubingtao/

Project Experience

Brain Tumor Classification Sep 2021 - Apr 2022

Led a 4-member team to develop a deep learning model using TensorFlow and Keras to classify brain tumors based on CT/MRI scans
Achieved 97% test accuracy through hyperparameter tuning and CNN architecture optimization
Demonstrated ability to lead end-to-end ML pipeline: data preparation, training, evaluation, and deployment

Music searching tool Music searching tool Sep 2022 - Dec 2022

Developed a full-stack music platform using JavaScript, HTML, CSS, and Node.js
Designed a user-friendly interface to support track search, playback, playlist creation, and commenting
Built a secure authentication system using JWT, supporting user registration, login, and Google third-party login
Created an admin panel to manage user bans, track deletions, and DMCA takedowns
Deployed the application on AWS EC2 and configured the server with Nginx for performance optimization

Data Warehouse Project – Beijing Airbnb Sep 2022 – Dec 2022

Built a scalable data warehouse for Beijing Airbnb listings using Druid, Apache Airflow, and PostgreSQL
Conducted data visualization and reporting using Apache Superset for analytical insights
Developed a machine learning model with ARIMA using SparkML to predict Airbnb housing prices

Awards

Carleton Dean’s Honour List 2021-2022

Timeline