Haobin Tan

Haobin Tan

Software Concept Developer / Innovation Manager for Algorithms

Continental

Biography

  • πŸ”₯ Passionate AI and Deep Learning practitioner

  • πŸ§‘β€πŸ’» Software developer (most of the time Pythonist)

  • πŸ‘¨β€πŸŽ“ Lifelong learner, always exploring

  • πŸ€™ Keep it simple stupid (KISS)

Interests
  • Deep Learning
  • Computer Vision
  • Machine Learning
  • Data Science
Education
  • MSc in Computer Science, 2022

    Karlsruhe Institute of Technology (KIT)

  • BSc in Computer Science, 2019

    Karlsruhe Institute of Technology (KIT)

Awards

Winner of “Industry 4.0 & AR”-Challenge πŸ†

Accomplishments

TechQuartier
AiTalents 2020 Entrepreneur Education Program
See certificate

Experience

 
 
 
 
 
Continental
Software Concept Developer / Innovation Manager for Algorithms
Nov 2022 – Present Lindau, Germany
 
 
 
 
 
abas Software GmbH
Working Student
Jun 2018 – Jan 2020 Karlsruhe, Germany
  • Development of a cloud-based Document Management System (DMS) using Polymer, Vue.js, TypeScript, JavaScript, and Amazon Web Services (AWS)
  • Creation of automated tests with Jest and Cypress
  • Collaboration in an internationally distributed Scrum team

Practical Experience

 
 
 
 
 
KIT, Computer Vision for Human-Computer Interaction (CV:HCI) Lab
Walkable Path Discovery Utilizing Drones
Apr 2021 – Jul 2021 Karlsruhe, Germany
  • Development of “flying guide dog” prototype for visually impaired assistance based on DJI drones and semantic segmentation using Python
  • Training of segmentation models on Cityscapes dataset and large-scale Mapillay Vistas dataset using PyTorch
  • Design of drone self-control algorithm
  • Build Pedestrian and Vehicle Traffic Lights (PVTL) dataset for traffic light recognition
  • Design and training of traffic light recognition model using PyTorch
 
 
 
 
 
KIT, Interactive Systems Lab (ISL)
Hand Gesture Recognition
Nov 2020 – Feb 2021 Karlsruhe, Germany
  • Development of hand gesture recognition application with Python
  • Building and training of neural networks using PyTorch
  • Dataset preprocessing and data augmentation using albumentations
  • Hyperparameter tuning using Ray-Tune
 
 
 
 
 
KIT, Vision and Fusion Laboratory
Real World Person Detection on Jetson GPU
Oct 2017 – Feb 2018 Karlsruhe, Germany
  • Training of Single-Stage Detectors (YOLO, RetinaNet, SSD)
  • Deployment of end-to-end person detection pipeline on Nvidia Jetson devices
  • Performance optimization using Nvidia Nsight
 
 
 
 
 
KIT, High Performance Humanoid Technologies (HΒ²T)
Lego Mindstorms
Nov 2020 – Mar 2021 Karlsruhe, Germany
  • Design and development of LEGO robot based on leJos Ev3 framework using Java
  • Methodology: Scrum
  • 2nd place in the final race
 
 
 
 
 
KIT, the Telecooperation Office (TECO)
Development of an interactive feedback system based on RStudio Shiny for data from ESM applications for Android
Oct 2016 – Apr 2017 Karlsruhe, Germany
  • Development of Android application for survey based on experience sampling method (ESM)
  • Methodology: Waterfall model
  • Open source Frameworks: okhttp3, gson

Skills

python
Python
pytorch
PyTorch
java
Java
javascript
JavaScript
typescript
TypeScript
Markdown
latex
LaTex
c-sharp
C#
linux
Linux
git
Git
jupyter
Jupyter
vscode
VS Code

Languages

πŸ‡¨πŸ‡³
Chinese & Cantonese

Native

πŸ‡ΊπŸ‡Έ
English

Proficient

πŸ‡©πŸ‡ͺ
German

Proficient

Recent Posts

SMART Goals
Homebrew
Sunset