Sharaf Mohamed
Recent PhD Graduate With A Focus On Artificial Intelligence And Deployment Of Real-world Robots
Canada
Summary
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Rockstar🎓
Top SchoolSharaf Mohamed is a recent PhD graduate from the University of Toronto specializing in artificial intelligence and the deployment of real-world robots, bringing 11 years of hands-on experience in robotics, control systems, and engineering projects. He combines strong mathematical and programming skills with practical systems knowledge from extensive academic research and technical project work during his BASc in Electrical Engineering. Known for moving quickly from concept to implementation, he enjoys tackling new challenges that deepen expertise in control, robotics, and problem solving. Based in Canada, he pairs collaborative instincts with a track record of building and deploying robot systems under real-world constraints, and he seeks roles that stretch both theory and applied engineering.
11 years of coding experience
Bachelor of Applied Science (BASc), Electrical Engineering, Bachelor of Applied Science (BASc), Electrical Engineering at University of TorontoTurner Fenton Secondary School (IB)
Github Skills (7)
compression10
log-parser10
logging10
parsing10
analytics10
clp10
searching10
Programming languages (1)
Github contributions (5)
SharafMohamed/clp
Mar 2022 - Jun 2026
Compressed Log Processor (CLP) is a free tool capable of compressing text logs and searching the compressed logs without decompression.
Contributions:2 reviews, 3 PRs, 300 pushes in 4 years 3 months
clpdecompressioncompressionlog-processorlogging
y-scope/log-surgeon
Jun 2023 - Jul 2026
A performant log parsing library
Contributions:657 reviews, 154 PRs, 42 pushes in 3 years 1 month
parsing
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