Weichi Zhao

About Me

Weichi graduated from Arizona State University with a Master of Computer Science degree in December 2020, where he also received a BS degree in May 2019. He is a grounded and solution-oriented engineer with a wide variety of experiences. His current interests are focusing on Software Engineering, Data Structure Design, Machine Learning, and Data Visualization. He is also equipped with well Developed analytical capability and leadership skills across the success of every academic course and event.

News

08/2021 : Joined Zhejiang Lab, China
12/2020 : Graduated from Arizona State University as a master student

Educations

Arizona State University, Unite States - GPA: 3.97/4.00

Master of Computer Science (2019.05 - 2020.12)

Focusing on Computer Network, Machine Learning, Data Mining, and Data Visualization

Arizona State University, Unite States - GPA: 3.40/4.00

Bachelor of Science, Computer Science (2015.08 - 2019.05)

Focusing on Software Engineering, Network Programming, Computer Security

Projects

Geospatial Data Analysis in Map-Reduce

Spatial analysis based on a collection of New York City taxi trip records, the purpose of this project is to identify unusual patterns in a statistically significant manner by a distributed in-memory computing frameworks by Apache Spark Training of Distributed Database System and Data Analysis

Analysis on Continuous Glucose Monitoring Data

Analysis of the time series data collected by CGM in order to extract meaningful statistics and other characteristics of the data Training of the Classification and Clustering in Machine Learning techniques

Benchmark of Spark for Large Mini-Batch Deep Learning Models

Inquiry the traditional optimizer SGD in Spark and benchmark the performance on relatively big data set and DNN model Integrate the LARS-SGD optimizer into Spark, perform the benchmark on same data set and DNN model. The 97.79% of testing accuracy was achieved in batch size of 16384 Training of Deep Learning and Data Mining

Data Visualization for solving the VAST Challenge 2015

Analysis of time series data of user movement collected by Dino Fun World park from an event to extract the useful features Design the analytic visualization to showcase the incentive causes the mayhem and demonstrate the valuable findings Training of Data Visualization and Data Analysis

Experience

Zhejiang Lab , SuperComputer Research Center, Full Time (2021.08 - Now)

Major topic: SuperComputer platform development, Performance Optimalization
Mentor: Guangwen Yang, Peng Liu, Yi Qin

SNAC, Arizona State University (2020.01 - 2020.05)

Assisted to develop an open virtual lab platform(THOTH Lab) for academic research and education purpose
Extend the educational modules including Software-defined Networking and OpenFlow Switch Controllers
Expand server module utilizes the Boto3 to enable the functionalities of remote controlling in AWS instances
Participate in Web Front-end & Back-end development
Mentor: Dijiang Huang

SNAC, Arizona State University (2020.05 - 2020.08)

Major Project: Scenery Image Stitching and Inpainting.
Mentor: Dijiang Huang