Seif Farag
Researcher at Korea Advanced Institute of Science and Technology
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolSeif Farag is a robotics researcher at KAIST with nine years of multidisciplinary experience blending machine learning, visual-language models, and hands-on robotics for human-robot interaction and dexterous manipulation. He has led industry-collaborative projects—transforming haptic devices into 5DoF force/torque systems, boosting teleoperation frequency to 1kHz, and integrating VLM-based weight estimation into lightweight exoskeletons. His background spans end-to-end system development from embedded control and CAN motor networks to parallelized ROS2 architectures and novel moving-window inference algorithms that improved throughput by over 200%. Seif pairs strong academic training (MS in Robotics from KAIST) with product-focused machine learning work—delivering a 98% accuracy autonomous self-checkout prototype and measurable reliability guarantees. A pragmatic team player, he thrives on cross-disciplinary problem framing and mentoring, often bridging control theory, deep learning, and hardware design. Colleagues note his habit of questioning assumptions early, which routinely uncovers simpler, more robust solutions.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science (Robotics Track), 4.56/5, Bachelor's degree, Computer Science (Robotics Track), 4.56/5 at Innopolis UniversityAssociate Degree (5 year system), Computer Science, 92.8/100, Associate Degree (5 year system), Computer Science, 92.8/100 at Information Technology SchoolMaster of Science - MS, The Robotics Program, 3.65/4.3, Master of Science - MS, The Robotics Program, 3.65/4.3 at Korea Advanced Institute of Science and Technology
English
Github Skills (17)
object-detection8
custom-model8
pytorch7
ios7
onnx7
machine-learning7
deep-learning7
yolov57
tflite6
coreml6
yolov44
ml4
classification4
ultralytics3
yolov83
Programming languages (2)
Github contributions (5)
SeifAbdElrhman/T-Motor-Controller
Aug 2021 - Oct 2021
Contributions:5 reviews, 29 commits, 3 PRs in 1 month
FaragSeif/HGCv1
Oct 2022 - Nov 2022
HGC is a Hand Gesture Control system based on Google's Mediapipe and a custom model build on top of it for gesture classification.
Contributions:1 review, 35 commits, 2 PRs in 1 month
custom-modelmachine-learninggesture-controlmediapipeon-top
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