
Software Engineer at Cisco CRDC /// @linux, @C/C++, @python, @neovim, @cisco
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cisco Systems Inc
Data Scientist
June 19, 2026 – Present
comnetsemu_open5gs
December 8, 2021 – May 15, 2022
Deploy open5gs and ueransim in comnetsemu to perform cp state access measurements.
View Projectcomnetsemu
August 16, 2019 – January 29, 2024
A virtual emulator/testbed designed for the book: Computing in Communication Networks: From Theory to Practice (2020)
View Projectyolov2
January 15, 2019 – July 27, 2019
A simple implementation of yolov2 based on tensorflow
View Projectbuild-vnf
May 9, 2018 – January 25, 2022
:coffee: Experimental/research project to build high-performance and energy-efficient virtual network functions (VNFs).
View Projectsfc-ostack
October 15, 2017 – November 18, 2019
:cloud: Simple research framework for Service Function Chaining on OpenStack
View Projectkl1p-test
June 25, 2016 – May 18, 2020
A test/evalution program for the portable c++ compressed sensing library: kl1p-0.4.2
View Projecthaec-netem
May 7, 2016 – October 7, 2016
:dog: HAEC-NetEm: HAEC Playground Network Emulator
View Projectcodes-on-rasp
January 31, 2016 – December 13, 2016
:ghost: Exercises prepared for Mikrorechentechnik 2 (MRT 2) 2016 at TU Dresden
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, particularly in network emulation, virtual network functions, and some machine learning. This indicates a proactive and self-driven individual. However, the projects are predominantly research/experimental and personal, which might suggest a preference for independent work. The breadth of technologies used (Python, C++, Shell, Jupyter Notebook, Rust, Lua, Assembly) shows versatility. The alignment with a 'Data Scientist' role is present through projects like 'yolov2' and the current job, but the majority of projects lean towards network engineering/systems. This suggests a potential fit if the Data Scientist role involves network data or performance analysis, but less so for pure statistical modeling or business intelligence.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, but lack detail regarding problem-solving approaches, team collaboration (as all projects are personal), or specific outcomes. This makes it difficult to assess soft skills like communication, teamwork, or leadership. Operational fit is hard to determine without more context on work style or preferences.