Amaturer badminton player, UCI badminton club member
Hongyu Liu
Irvine,CA
Summary
Enthusiastic Software Engineer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of software design, software development, and software testing. Motivated to learn, grow and excel in the field of software engineering and business infomatics.
Overview
1
1
Language
4
4
years of post-secondary education
3
3
years of professional experience
Work History
Software Engineer Intern
Credit Card Center, China CITIC
05.2020 - 07.2020
- Designed, implemented, and tested in Java a complete microservice system framework for financial technology purpose.
- Leveraged Docker and Kubernetes and gPRC frameworks to facilitate the development.
- Utilized 1) JUnit framework to facilitate software testing, 2) Apache Maven to manage the project, and 3) Git to drive version control and team collaboration.
Lab Tutor
01.2020 - Current
- Assist the instructors in preparing course and lab materials; offer weekly tutorial sessions for providing academic assistance in code debugging as well as learning material enhancement to students.
- Document students’ activities in lab sessions and collect feedbacks for the course instructors for improving learning experience.
Quantitative Analyst Intern
Founder Securities Co., Ltd
Beijing, China
06.2019 - 08.2019
- Contributed to the research, design, and implementation of proprietary automated market-making algorithms, and statistical inventory and portfolio management algorithms.
- Analyzed market impact, and derived optimal quoting and hedging strategies using predictive modeling and data mining techniques on historical high-frequency tick data.
- Built hands-on experience in quantitative investment research, including time series modeling, effective application of machine learning and other statistical tools on large data sets, back-testing, and scenario analysis.
Data Analyst Intern
Zhongshan Rural Commercial Bank
12.2019 - Current
- Designed, prototyped and tested a machine learning tool for identifying and reporting credit card fraud:.
- Collected credit card transaction data from various online sources, covering 280K+ historical transactions; leveraged random oversampling and synthetic minority oversampling technique (SMOTE) to handle imbalanced dataset.
- Systematically assessed the performance of Naïve Bayes, k-nearest neighbor and logistic regression on highly skewed credit card fraud data, covering metrics of accuracy, sensitivity, specificity, precision, Matthews correlation coefficient, and balanced classification rate.
Education
B.S - Computer Science, Economics
University Of California
09.2017 - 06.2021
Skills
Agileundefined
Interests
Timeline
Software Engineer Intern
Credit Card Center, China CITIC
05.2020 - 07.2020
Lab Tutor
01.2020 - Current
Data Analyst Intern
Zhongshan Rural Commercial Bank
12.2019 - Current
Quantitative Analyst Intern
Founder Securities Co., Ltd
06.2019 - 08.2019
B.S - Computer Science, Economics
University Of California
09.2017 - 06.2021
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