Engineer Python

ZIMIN JIN

**********@*****.*** 213-***-****

https://www.linkedin.com/in/zimin-jin-9485221a3/

CAREER OBJECTIVE

To seek for an entry-level Software Development Engineer position starting from May 2021. SKILLS

Languages: C/C++/STL, Python, MATLAB, Java, HTML5/CSS3, SQL, shell scripting Frameworks: Boost, Django, Flask, TensorFlow, Scikit-learn, Numpy, Scipy, Scrapy, Spark, Hadoop Databases/Tools: MongoDB, MySQL, AWS, Eclipse, Git, Tableau, Redis, Kafka, Google Analytics Knowledge: OOP/OOD, Design patterns, Machine learning, Big data, ETL EDUCATION

University of Southern California, M.S. in Electrical Engineering, CA, U.S. Expected 2021/05 Macau University of Science and Technology, B.S. in Information Technology 2015/08–2019/05 WORK EXPERIENCE

Software Engineer Internship, DROPSHYP, Los Angeles, CA 2020/06 – Now

Built an E-commerce platform with Python, MySQL, Redis and Kafka.

Developed data cache by Redis with maxmemory-policy and bloom filter.

Implemented a distributed streaming platform by Kafka for recording user activities.

Visualized data of Executed 200 furniture suppliers by connecting tableau with salesforce.

Created a canal-python client to extract binlog from MySQL to build incremental database. Part-time SDE Internship, MOEV INC., Los Angeles, CA 2020/07 – Now

Implemented spider by Xpath selector in Scrapy to import database as item.

Built a item pipeline with Scrapy in Python to store items as JSON format.

Delivered data visualization of risk matric by Matplotlib to meet the standard of UL-1998.

Managed images of charging station with Boto, Django-Storage to upload the images to AWS S3. PROJECTS

Indoor Wireless Localization System 2020/02 – 2020/05

Identified the best location classifier with Python, Scikit-learn, Panda and Numpy.

Pre-processed data with 100 features by Panda and Numpy for data normalization and cleansing.

Partitioned 100k data sets with StratifiedKFold/ShuffleSplit for cross validation.

Optimized KNN, CNN, Perceptron and Naive Bayes Classifier from Scikit-learn.

Leveraged SVM from LIBSVM by modifying kernel types and parameter values to achieve accuracy up to 99.375%.

Django/ReactJs based Macau Self Pickup Express Web Service 2019/09 – 2019/12

Developed a web service with Python, Django on MongoDB for Macau Express.

Implemented web’s frontend with ReactJS, Webpack for Ajax based dynamic web pages.

Leveraged RESTful API with Django and MongoDB as database.

Designed users’ authentication with Django-Oauth-Toolkit for Oauth2 based users. New friend Recommendation System: Hadoop based Big Data Application 2020/05 – 2020/08

Enhanced New friend recommendation system with Java, Hadoop on HDFS with MapReduce.

Divided job of MapReduce into tasks by YARN to better manage the resources.

Built a item-based Collaborative Filtering by HdfsDAO.java API to get co-occurrence.

Implemented ChainMapper by addMapper method in Hadoop to use multiple Mapper classes. Race On, Autonomous Vehicle: Python based algorithm optimization 2019/08 – 2020/01

Implemented an automation system with Python, ROS on Raspberry Pi3 for electrical vehicle.

Adjusted the PID controller with Gain Scheduling and Transient switch.

Applied a step response based on data collected from camera and color sensor.

Contact this candidate