Timmy Wen
Account Tech Strategist
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolTimmy Wen is an Account Tech Strategist at Microsoft and an undergraduate electrical and electronics engineering student at Tongji University, bringing eight years of hands-on software and ML experience. He blends practical systems programming in C/C++ with applied deep learning, contributing to SLAM, ORB-SLAM2 integrations, and YOLO-based object detection pipelines on GitHub. His work spans core computer vision tasks—keyframe management, stereo matching, ORB feature extraction—and the end-to-end setup and training of detection models in caffe, reflecting both algorithmic depth and engineering pragmatism. A Microsoft Learn Student Ambassador since 2022, he pairs technical contribution with community engagement and developer advocacy. Based in Shanghai, he holds a Udacity Deep Learning Nanodegree and often bridges research-grade vision algorithms with production-oriented tooling. Notably, his repos reveal a focus on dynamic semantic SLAM and robotics vision—areas that demand both theoretical insight and meticulous low-level implementation.
8 years of coding experience
High School Diploma, High School Diploma at Guangdong Experimental High SchoolNanodegree, Deep Learning, Nanodegree, Deep Learning at UdacityBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at 同济大学
English, Chinese, Chinese
Github Skills (25)
algorithms10
caffe10
c-language10
python10
feature-extraction10
image-processing10
machine-learning10
c1110
data-structure10
c1710
mask-rcnn10
data-structures10
object-detection10
computer-vision10
faster-rcnn10
Programming languages (4)
Github contributions (5)
Ewenwan/ORB_SLAM2_SSD_Semantic
Nov 2018 - Aug 2020
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
Role in this project:
Backend Developer
Backend DeveloperContributions:113 commits, 101 pushes, 1 branch in 1 year 8 months
Contributions summary:Timmy primarily contributed to the `KeyFrame.h`, `Frame.h`, and `Frame.cc` files, suggesting a focus on core functionalities within the SLAM system. They implemented keyframe initialization, stereo matching, and ORB feature extraction, which are essential components of the SLAM process. The changes involved defining data structures, image processing steps, and methods for handling frame data and pose estimation within an ORB-SLAM2 framework.
octomap
Ewenwan/ShiYanLou
Nov 2017 - Feb 2021
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
Role in this project:C++ Developer
C++ DeveloperContributions:2017 commits, 1892 pushes, 2 branches in 3 years 3 months
Contributions summary:Timmy appears to be contributing to a C++ and C based repository focused on learning C & C++ with a focus on algorithms, data structures, and systems programming. The commits demonstrate proficiency in implementing and understanding fundamental data structures such as linked lists, stacks, and queues. The code also showcases the implementation of sorting algorithms, including quicksort, mergesort, and heapsort.
cpplinuxpythonllvmc
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