Divyanshu Kumar

Software Engineer

Mountain View, California, United States8 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing distributed systems for telecommunications.
Proficient in backend development with C++ and Python.
Experience in teaching and mentoring in computer science.

Stackforce AI infers this person is a Backend Engineer specializing in Telecommunications and Distributed Systems.

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Skills

Core Skills

Distributed SystemsBackendPythonC++

Other Skills

Python (Programming Language)Apache ThriftWebAssemblyJavaScriptMachine LearningDeep LearningAlgorithmsData StructuresComputer NetworkingLinuxCamera OperationRecurrent Neural Networks (RNN)Convolutional Neural Networks (CNN)Multi-camera

About

Building and improving distributed systems - I love figuring out how systems work and continuously strive to make them faster and reliable while minimizing complexity and maintenance burden.

Experience

8 yrs 3 mos

Total Experience

2 yrs 9 mos

Average Tenure

3 yrs 5 mos

Current Experience

University of wisconsin-madison

3 roles

Graduate Teaching Assistant

Aug 2022 – Jan 2023 · 5 mos · Madison, Wisconsin, United States

TA for the CS220 course teaching introductory CS with python.

Python (Programming Language)Python

Co-Instructor in CS-402

Jan 2022 – May 2022 · 4 mos · Madison, Wisconsin, United States

Taught introductory CS using Scratch tool and language to K-12 students. The aim of this after-school teaching was to educate students about Computer Science and develop an interest in them to pursue CS in the form of interest/education.

Graduate Teaching Assistant

Aug 2021 – Jan 2022 · 5 mos · Madison, Wisconsin, United States

Graduate Teaching Assistant for the course CS 220 at UW Madison. Responsible for designing quizzes, projects, exams, leading lab hours and helping students in office hours.

Samsung r&d institute india

3 roles

Lead Software Engineer

Mar 2021 – Aug 2021 · 5 mos

Develop Camera System Software, which includes camera software stack to support Android Camera Hardware Abstraction Layer (HAL) and camera kernel as well as camera hardware bring-up.
Optimize camera system software performance, power, and memory usage.
Integrate Machine Learning and Computer Vision software.