萝莉乱伦

Aaron Wang has a diverse work experience in the field of technology. Aaron is currently working as a Deep Learning Engineer at Predictiva, starting in March 2022. Prior to this, they worked as a Computer Science Tutor at 易课教育, where they taught machine learning to undergraduate students starting in December 2021.

Before that, Aaron worked at Xiaomi Technology as a Hadoop SRE. In this role, they were responsible for the deployment, monitoring, and management of the XiaoMi Log Collection System (LCS) across multiple clusters and nodes. Aaron worked in this position from July 2017 to November 2018.

Aaron also had a previous stint at Xiaomi Technology as a Hadoop SRE, where they gained knowledge and experience in various Hadoop environments such as Zookeeper, HDFS, HBase, Hive, Yarn, Spark, Kafka, and Storm. Aaron held this role from February 2017 to May 2017.

Additionally, Aaron worked as a Data Development & Cloud Support Engineer at Hangzhou DtDream Technology Co., Ltd from July 2016 to September 2016. In this role, they were responsible for the migration and update of the juridical person database of Zhejiang province, focusing on data cleaning and verification.

Overall, Aaron Wang has a strong background in technology, with experience in deep learning, machine learning tutoring, Hadoop systems, and data management.

Aaron Wang completed their Master of Science (MS) in Computer Science with a focus on Artificial Intelligence at the University of Nottingham from 2020 to 2021. Before that, they pursued a Pre-Masters program in Science and Engineering at Kaplan International Pathways from 2019 to 2020. Prior to their time at Kaplan, Aaron obtained a Bachelor of Engineering (BE) degree in Electrical and Electronics Engineering from Xi'an University of Posts and Telecommunications, which they completed from 2013 to 2017. In addition to their formal education, Aaron has also acquired additional certifications, including "Building a Recommendation System with Python Machine Learning & AI" from LinkedIn in November 2021, and "Applied Machine Learning: Algorithms," also from LinkedIn, in October 2021.