Avatar

Lei Zhang

D.Eng. in Academy for Engineering & Technology

Fudan University

Biography

Experienced in cutting-edge technologies at the intersection of Web3 and AI, adept at leveraging Python, Matlab, C++, Java, and Linux to drive innovation. Proficient in Git for version control and Pytorch for deep learning model development. Specialized in robotics vision, medical imaging, and machine learning, with a knack for synthesizing complex concepts into actionable solutions. Strong problem-solving skills, adaptable to dynamic environments, and effective collaborator with a knack for creative problem-solving.

Interests

  • Machine Learning
  • Perception

Education

  • D.Eng in Electronics and Information, 2018

    Fudan University

  • MA in Computer Technology, 2015

    University of Shanghai for Science and Technology

  • BA in Software Engineering, 2011

    Jiangsu University

Skills

ROS

70%

Linux

60%

Machine Learning

55%

Git

75%

Dev Ops

55%

Python

65%

Experience

 
 
 
 
 

Algorithm Engineer Intern

Roadefend

Apr 2019 – Sep 2019 Shanghai

Worked with the project leader to implement a face recognition algorithm on DMS(driver monitoring system) device, including data clean, model training and algorithm evaluation

Responsibilities include:

  • Impletement Face Recognition Algorithm based on Insightface alogrihtm with C++ and Python.
  • Model Training with MobileNetv2 on MXNet
  • Evaluation Algorithm 1:1, 1:N on face database: Labeled Faces in the Wild Home(LFW)
 
 
 
 
 

Data Engineer Intern

Kyligence

Dec 2017 – Mar 2018 Shanghai
Worked at a team of Development and Operations for Kylin(An online language analysis platform) on building an automation platform at AWS and Azure for log analysis.

  • DevOps Kylin (Apache Opensource) on AWS and Azure
  • Deploy an architecture of Kylin log on the cloud by ELK
 
 
 
 
 

Software Engineering Intern

Awiatech China

Jun 2015 – May 2017 Shanghai
  • Replicated a host application for monitoring WirelessHART devices with Java Swing technology.
  • A customized host application that implements WirelessHart host communication with PLC device based on observer pattern
  • Lead a project that cooperated with China Petroleum to upgrade its field instruments to support the WirelessHART protocol. Meanwhile, I developed an IoT monitoring system to predict the status of devices and alert prior to the error.

Accomplish­ments

Deep Learning Specialization

Coursera Oct 2020
Including Neural Networks and Deep Learning, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Convolutional Neural Networks
See certificate

Robotics Software Engineer

Udacity Jun 2020
Gazebo Simulation, ROS Essentials, Localization, Mapping & SLAM, Path Planning
See certificate

Recent Posts

Why dispassion is so important?

[[Radhika Nagpal]] 不认为要有更多的勇气去做，而是本应该去做。It’s a dispassion. 相反，要降低奖励，使得风险变低。 “Congratulations. Now you can do all the …
Sep 24, 2021 3 min read

Are you in Beemind?

The obeservation of the numerous misfortunes that attend all conditions forbids us to grow insolent upon our perent enjoyments, or to …
Jul 17, 2021 1 min read

Projects

*
All Deep Learning Robotics Notion Roam Other

Robot Grasp 2019

A demo of Robot Grasp by UR5

Recent & Upcoming Talks

Featured Publications

Recent Publications

A novel distribution for representation of 6D pose uncertainty

The 6D Pose estimation is a crux in many applications, such as visual perception, autonomous navigation, and spacecraft motion. For …
DOI URL

Popular Topics

Robotics

Contact