AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning and Robotics Scientist, MSc.
MAHMOUD SALEM received his M.Sc. degree in Computer Engineering and Systems from Ain Shams University, Cairo, Egypt, in 2020, and his B.Eng. degree in Electronics and Communication Engineering from Thebes Higher Institute of Engineering, Cairo, Egypt, in 2014. He is currently a Machine Learning and Robotics Scientist in the Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology, Karlsruhe, Germany. Previously, He worked as Computer Vision Research Engineer at MSD and EL2Labs in Cairo, Egypt. Earlier, He also worked as IoT Engineer and Embedded Software Engineer roles with various institutions in Egypt. He has more than ten years of experience in research and development (R&D). His research interests include Computer Vision, Deep Learning, Robot Learning, Collaborative Robotics, Imitation Learing and Industry 4.0/5.0. During the past ten years, he has contributed to international consortia such as SMERF (Interreg EU Funding, Germany/EU), HEAT (ZIM Funding, Germany/Taiwan), and Wertstromkinematik (KIT Internal Funding, Germany). He has also led many industrial projects in United States, Malaysia, Egypt, Gulf region, and Sudan. He has authored or co-authored more than fifteen peer-reviewed articles. His work has been recognized with the Best Research Paper Award at CARV 2023 (Bologna), the Best Student Research Paper Award at KES-SDM 2019 (Budapest), and the Best Paper Award at ACHI 2018 (Rome). Also, He got the Best Poster Award at MSMT (Egypt). As an undergraduate, he secured podium places in four national robotics contests.
Ain Shams University
Master of Science - MSc, Computer Engineering and Systems
September 1, 2016 – September 1, 2020
Thebes Academy
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
September 1, 2009 – May 1, 2014
Karlsruhe Institute of Technology (KIT)
Machine Learning and Robotics Scientist
May 1, 2021 – Present
Karlsruhe, Baden-Württemberg, Germany
Millennium Systems Design
Computer Vision Research Engineer
September 1, 2020 – April 1, 2021
Cairo, Egypt
AMIT Learning
Instructor
January 1, 2020 – December 1, 2020
Cairo, Egypt
ELSquare (ESquares GenieSys)
Algorithms Engineer
October 1, 2019 – September 1, 2020
Cairo, Egypt
Karlsruhe Institute of Technology (KIT)
Junior Researcher
April 1, 2019 – October 1, 2019
Karlsruhe, Baden-Württemberg, Germany
IT Sharks
Instructor
January 1, 2018 – April 1, 2019
Cairo, Egypt
ISLab
Research and Development Engineer
October 1, 2017 – April 1, 2019
Cairo, Egypt
Communication Lab, Faculty of Engineering, Ain Shams University
Embedded Software Engineer
January 1, 2017 – January 1, 2020
Cairo, Egypt
Athr
Embedded Software Engineer
April 1, 2016 – October 1, 2017
Cairo, Egypt
Cultural Fit Analysis
The candidate's background is heavily skewed towards research, machine learning, computer vision, and embedded systems. While these fields require strong technical acumen, the direct relevance to a 'Backend Engineer' role is limited. The project diversity is strong within their specialized domain, but there's a lack of explicit experience in traditional backend development (e.g., API design, database management, distributed systems, cloud platforms). This indicates a potential mismatch with the target role's typical responsibilities, suggesting a moderate cultural fit for a pure backend engineering position without significant upskilling or a role that specifically blends backend with ML/CV operations.
Soft Skills & Operational Fit
The candidate's experience as an instructor suggests strong communication and mentoring skills. Their research roles indicate a proactive, analytical, and problem-solving mindset. However, the resume does not provide direct evidence of collaboration within a backend engineering team context, which is crucial for operational fit in a target role like Backend Engineer.