Fang Zhou
Founder And Lead Software Engineer at JFL Solutions
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolFang Zhou is a founder and lead software engineer in Los Angeles with a decade of experience building software systems for transportation and healthcare domains. He blends deep transportation engineering expertise—especially Connected Automated Vehicles, speed harmonization, and CACC—with strong software engineering skills across Java, C/C++, C#, web stacks, databases, Android, and simulation tools like VISSIM and MATLAB/Simulink. His background spans federal research projects at Leidos, academic optimization and web-tool development at Mississippi State, and production Java work in healthcare and reinsurance systems, showing an ability to move algorithms from research into robust server and client applications. Comfortable from low-level algorithm design to full-stack delivery, he also applies statistical modeling and data-mining techniques (regression, neural nets) to real-world traffic and incident-management problems. As an entrepreneur he now leads JFL Solutions, translating domain research into practical products—an unusual combination of transportation research rigor and hands-on software craftsmanship.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Management Information Systems, General, Bachelor of Science (BS), Management Information Systems, General at Beijing Jiaotong UniversityMaster of Science (MS), Civil Engineering, Master of Science (MS), Civil Engineering at Mississippi State University
English, Chinese
Github Skills (20)
testing9
simulation9
code-documentation9
autonomous-driving9
operating-system9
ros9
image-size9
cpp9
doxygen9
napalm8
automation8
autonomous-vehicles8
logistics8
system-configuration8
infiniband7
Programming languages (6)
Github contributions (5)
fangzhou1227/CACC-Lead-SecondaryProcessor
Nov 2015 - Feb 2016
Contributions:1 push, 1 branch in 2 months
usdot-fhwa-stol/cdasim
Jun 2020 - May 2021
CDASim is an open-source simulation system supporting the development and testing of Cooperative Driving Automation applications.
Contributions:25 reviews, 61 commits, 6 PRs in 11 months
automationsimulationtesting
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