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Software Engineer Data

San Jose, CA
February 19, 2020

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Yuqi Ma

*** ** **** **, *** Jose, CA *****949-***-**** •


San Jose State University, San Jose, CA May 2021

Master of Science in Computer Engineering, GPA: 4.0 University of California Irvine, Irvine, CA June 2019 Bachelor of Science in Computer Science, GPA: 3.24

• Dean’s Honor List: 5 Quarters


Data Structure, Algorithms, Database, Machine Learning, Computer Network SKILLS

• Language: Python, C++, C, Java, JavaScript, HTML, Lisp, Prolog, JSON

• Expert in Linux and Git commands


Fabflix Web Application

• Developed the full-stack movie web application Fabflix (Microservices architecture)

• Features include: fuzzy search, display of sorted movie list, page jumps, checkout and Android application

• Implemented advanced querying, auto query with AJAX, and stored procedures for data parsing

• Improved efficiency by 20% with master/slave MySQL replication, Apache load balancer, and Jmeter Property Damage Predictor

• Collaborated on the project of predicting property damage caused by natural disasters

• Collected and normalized Texas thunderstorm winds data from 1960 to 2010

• Analyzed training data performance after shallow and deep hidden layer artificial neural networks (Python)

• Predicted results for natural disasters in 2015 are 76.4% accurate (done in Jan. 2019) SmartWallet Android Application

• Designed and developed a smart wallet Android Application (in Java)

• Features include: create and edit credit cards, deposit and withdraw

• Scaled with FireBase


Robert Half, IT Marketing Corporate Communication Services San Ramon, CA Software Engineer Intern June 2018 - Sept. 2018

• Created a project on AWS that loads job postings data from Heroku to DynamoDB

• Improved team’s efficiency by whitelisting IP addresses to access databases

• Prevented future problems by setting VPC and private subnets on AWS

• Performed automation script for deployment with CloudFormation

• Practiced the integration and testing process (gitlab, Jenkins) UC Irvine, Computer Science Department Irvine, CA

Undergraduate Researcher Jan. 2018 - June 2019

Focus: Machine Learning

• Completed a script to automate a drone to identify objects in a fixed area (Python)

• Collected selective experiment data and generated reports

• Enhanced the data structure, scripts and the data format - saved 80% simulation time

• Improved catch rate to 43% by using Q-learning

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