Shafkat Farabi
Graduate Research Assistant
Virginia, United States
Summary
👤
Senior🎓
Top SchoolShafkat Farabi is a PhD student and graduate research assistant specializing in the intersection of computer vision and natural language processing, with current work on vision-language models for sentiment, sarcasm, and offensive language detection on social media. With eight years of experience that include lecturing and graduate teaching, he brings both strong research chops and practical classroom pedagogy—he has taught algorithms, calculus, C, and introductory Python to undergraduates. A competitive problem solver, Shafkat qualified for multiple ACM-ICPC regionals (2017–2019) and enjoys mathematical puzzles and algorithmic challenges that inform his research rigor. He holds an MS from George Mason (3.97 GPA) and a high-achieving CSE bachelor’s background, and recently transitioned to a research role at Virginia Tech while continuing his PhD. Known for blending analytical depth with clear communication, he is equally comfortable implementing models, mentoring students, and publishing research. He can be reached at mfarabi@gmu.edu for collaborations or questions about multimodal NLP applications.
8 years of coding experience
1 year of employment as a software developer
Bachelors, Computer Science and Engineering, CGPA 3.92 out of 4.00, Bachelors, Computer Science and Engineering, CGPA 3.92 out of 4.00 at Islamic University of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia TechMaster of Science - MS, Computer Science, 3.97, Master of Science - MS, Computer Science, 3.97 at George Mason University
Stackoverflow
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Github Skills (21)
traffic6
convolutional-neural-networks6
keras-models6
keras5
python5
machine-learning4
million4
deep-learning4
classification4
tensorflow3
computer-vision3
instagram3
neural-network3
pytorch2
sequence2
Programming languages (1)
Github contributions (5)
Farabi-shafkat/Automatic-Traffic-Sign-Recognition-and-Classification
Jan 2020 - Oct 2021
This is the code i wrote while following a tutorial made by pyimagsearch that uses keras to train a deep convolutional neural network to recognise traffic signs
Contributions:12 commits, 3 PRs, 11 pushes in 1 year 9 months
pythonkeras-modelstensorflowtrafficconvolutional-neural-network
Farabi-shafkat/Voice-Controlled-Home-assistant--a-prototype
Oct 2019 - Oct 2021
Contributions:5 commits, 1 push, 1 branch in 2 years
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